Analyse data.ipynb

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   "source": [
    "## Analyse Data\n",
    "\n",
    "In this phase, analyzing data involves cleaning messy text datasets to prepare them for analysis, then employing techniques such sentiment analysis, or word clouds to uncover insights within the data.\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "56cb1e4d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#imports\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "94639a74",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rating</th>\n",
       "      <th>Title</th>\n",
       "      <th>Author</th>\n",
       "      <th>Date</th>\n",
       "      <th>Country</th>\n",
       "      <th>Review</th>\n",
       "      <th>Aircraft</th>\n",
       "      <th>Type Of Traveller</th>\n",
       "      <th>Seat Type</th>\n",
       "      <th>Route</th>\n",
       "      <th>Date Flown</th>\n",
       "      <th>Recommended</th>\n",
       "      <th>Seat Comfort</th>\n",
       "      <th>Cabin Staff Service</th>\n",
       "      <th>Ground Service</th>\n",
       "      <th>Value For Money</th>\n",
       "      <th>Food &amp; Beverages</th>\n",
       "      <th>Inflight Entertainment</th>\n",
       "      <th>Wifi &amp; Connectivity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8.0</td>\n",
       "      <td>\"stick to their cabin bag size limit\"</td>\n",
       "      <td>4 reviews\\n\\n\\n\\nMichael Powell</td>\n",
       "      <td>2024-03-21</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>Not Verified |  The flight was comfortable eno...</td>\n",
       "      <td>A320</td>\n",
       "      <td>Solo Leisure</td>\n",
       "      <td>Economy Class</td>\n",
       "      <td>London Heathrow to Toulouse</td>\n",
       "      <td>March 2024</td>\n",
       "      <td>yes</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8.0</td>\n",
       "      <td>\"crew were attentive, friendly\"</td>\n",
       "      <td>N Wardan</td>\n",
       "      <td>2024-03-21</td>\n",
       "      <td>Canada</td>\n",
       "      <td>✅ Trip Verified |  We had a really good flying...</td>\n",
       "      <td>Boeing 787-8 /777-200 / A320-200</td>\n",
       "      <td>Family Leisure</td>\n",
       "      <td>Economy Class</td>\n",
       "      <td>Montreal to Venice via London Heathrow</td>\n",
       "      <td>March 2024</td>\n",
       "      <td>yes</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>\"Utterly outrageous\"</td>\n",
       "      <td>Solomon Pachtinger</td>\n",
       "      <td>2024-03-19</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>✅ Trip Verified |  Waited an hour to check-in ...</td>\n",
       "      <td>A321</td>\n",
       "      <td>Business</td>\n",
       "      <td>Business Class</td>\n",
       "      <td>Paphos to London</td>\n",
       "      <td>March 2024</td>\n",
       "      <td>no</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.0</td>\n",
       "      <td>\"They have a long way to go\"</td>\n",
       "      <td>Paul Roberts</td>\n",
       "      <td>2024-03-19</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>Not Verified |   Not a great experience at all...</td>\n",
       "      <td>Boeing 777-300</td>\n",
       "      <td>Business</td>\n",
       "      <td>Business Class</td>\n",
       "      <td>London to Houston</td>\n",
       "      <td>March 2024</td>\n",
       "      <td>no</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.0</td>\n",
       "      <td>\"FA's were friendly\"</td>\n",
       "      <td>42 reviews\\n\\n\\n\\nE Carmere</td>\n",
       "      <td>2024-03-14</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>✅ Trip Verified |  Boarding was difficult caus...</td>\n",
       "      <td>A320</td>\n",
       "      <td>Solo Leisure</td>\n",
       "      <td>Business Class</td>\n",
       "      <td>London Heathrow to Brussels</td>\n",
       "      <td>March 2024</td>\n",
       "      <td>yes</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
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      "text/plain": [
       "   Rating                                  Title  \\\n",
       "0     8.0  \"stick to their cabin bag size limit\"   \n",
       "1     8.0        \"crew were attentive, friendly\"   \n",
       "2     3.0                   \"Utterly outrageous\"   \n",
       "3     3.0           \"They have a long way to go\"   \n",
       "4     7.0                   \"FA's were friendly\"   \n",
       "\n",
       "                            Author        Date         Country  \\\n",
       "0  4 reviews\\n\\n\\n\\nMichael Powell  2024-03-21  United Kingdom   \n",
       "1                         N Wardan  2024-03-21          Canada   \n",
       "2               Solomon Pachtinger  2024-03-19  United Kingdom   \n",
       "3                     Paul Roberts  2024-03-19       Singapore   \n",
       "4      42 reviews\\n\\n\\n\\nE Carmere  2024-03-14         Belgium   \n",
       "\n",
       "                                              Review  \\\n",
       "0  Not Verified |  The flight was comfortable eno...   \n",
       "1  ✅ Trip Verified |  We had a really good flying...   \n",
       "2  ✅ Trip Verified |  Waited an hour to check-in ...   \n",
       "3  Not Verified |   Not a great experience at all...   \n",
       "4  ✅ Trip Verified |  Boarding was difficult caus...   \n",
       "\n",
       "                           Aircraft Type Of Traveller       Seat Type  \\\n",
       "0                              A320      Solo Leisure   Economy Class   \n",
       "1  Boeing 787-8 /777-200 / A320-200    Family Leisure   Economy Class   \n",
       "2                              A321          Business  Business Class   \n",
       "3                    Boeing 777-300          Business  Business Class   \n",
       "4                              A320      Solo Leisure  Business Class   \n",
       "\n",
       "                                    Route  Date Flown Recommended  \\\n",
       "0             London Heathrow to Toulouse  March 2024         yes   \n",
       "1  Montreal to Venice via London Heathrow  March 2024         yes   \n",
       "2                        Paphos to London  March 2024          no   \n",
       "3                       London to Houston  March 2024          no   \n",
       "4             London Heathrow to Brussels  March 2024         yes   \n",
       "\n",
       "   Seat Comfort  Cabin Staff Service  Ground Service  Value For Money  \\\n",
       "0           4.0                  4.0             3.0                3   \n",
       "1           4.0                  5.0             3.0                4   \n",
       "2           2.0                  1.0             1.0                1   \n",
       "3           1.0                  3.0             1.0                1   \n",
       "4           2.0                  4.0             3.0                3   \n",
       "\n",
       "   Food & Beverages  Inflight Entertainment  Wifi & Connectivity  \n",
       "0               NaN                     NaN                  NaN  \n",
       "1               5.0                     4.0                  NaN  \n",
       "2               2.0                     1.0                  2.0  \n",
       "3               3.0                     2.0                  2.0  \n",
       "4               3.0                     NaN                  NaN  "
      ]
     },
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   ],
   "source": [
    "df = pd.read_excel('C:/Data Science - British Airways/Data/data_airline-reviews(British Airways).xlsx')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b5f947b7",
   "metadata": {},
   "outputs": [
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       "      <td>8.0</td>\n",
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       "      <td>4 reviews\\n\\n\\n\\nMichael Powell</td>\n",
       "      <td>2024-03-21</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>|  The flight was comfortable enough but with ...</td>\n",
       "      <td>A320</td>\n",
       "      <td>Solo Leisure</td>\n",
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       "      <th>1</th>\n",
       "      <td>8.0</td>\n",
       "      <td>\"crew were attentive, friendly\"</td>\n",
       "      <td>N Wardan</td>\n",
       "      <td>2024-03-21</td>\n",
       "      <td>Canada</td>\n",
       "      <td>|  We had a really good flying experience with...</td>\n",
       "      <td>Boeing 787-8 /777-200 / A320-200</td>\n",
       "      <td>Family Leisure</td>\n",
       "      <td>Economy Class</td>\n",
       "      <td>Montreal to Venice via London Heathrow</td>\n",
       "      <td>March 2024</td>\n",
       "      <td>yes</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
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       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>\"Utterly outrageous\"</td>\n",
       "      <td>Solomon Pachtinger</td>\n",
       "      <td>2024-03-19</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>|  Waited an hour to check-in at the Paphos bu...</td>\n",
       "      <td>A321</td>\n",
       "      <td>Business</td>\n",
       "      <td>Business Class</td>\n",
       "      <td>Paphos to London</td>\n",
       "      <td>March 2024</td>\n",
       "      <td>no</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Trip Verified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.0</td>\n",
       "      <td>\"They have a long way to go\"</td>\n",
       "      <td>Paul Roberts</td>\n",
       "      <td>2024-03-19</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>|   Not a great experience at all, from the ou...</td>\n",
       "      <td>Boeing 777-300</td>\n",
       "      <td>Business</td>\n",
       "      <td>Business Class</td>\n",
       "      <td>London to Houston</td>\n",
       "      <td>March 2024</td>\n",
       "      <td>no</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Not Verified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.0</td>\n",
       "      <td>\"FA's were friendly\"</td>\n",
       "      <td>42 reviews\\n\\n\\n\\nE Carmere</td>\n",
       "      <td>2024-03-14</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>|  Boarding was difficult caused by vast major...</td>\n",
       "      <td>A320</td>\n",
       "      <td>Solo Leisure</td>\n",
       "      <td>Business Class</td>\n",
       "      <td>London Heathrow to Brussels</td>\n",
       "      <td>March 2024</td>\n",
       "      <td>yes</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>3766</th>\n",
       "      <td>1.0</td>\n",
       "      <td>British Airways customer review</td>\n",
       "      <td>J Robertson</td>\n",
       "      <td>2012-08-29</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>This was a bmi Regional operated flight on a R...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Economy Class</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Not Verified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3767</th>\n",
       "      <td>9.0</td>\n",
       "      <td>British Airways customer review</td>\n",
       "      <td>Nick Berry</td>\n",
       "      <td>2012-08-28</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>LHR to HAM. Purser addresses all club passenge...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Business Class</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>yes</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Not Verified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3768</th>\n",
       "      <td>5.0</td>\n",
       "      <td>British Airways customer review</td>\n",
       "      <td>Avril Barclay</td>\n",
       "      <td>2011-10-12</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>My son who had worked for British Airways urge...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Economy Class</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Not Verified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3769</th>\n",
       "      <td>4.0</td>\n",
       "      <td>British Airways customer review</td>\n",
       "      <td>C Volz</td>\n",
       "      <td>2011-10-11</td>\n",
       "      <td>United States</td>\n",
       "      <td>London City-New York JFK via Shannon on A318 b...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Premium Economy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
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       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Not Verified</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3770</th>\n",
       "      <td>4.0</td>\n",
       "      <td>British Airways customer review</td>\n",
       "      <td>Russ King</td>\n",
       "      <td>2011-10-09</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>SIN-LHR BA12 B747-436 First Class. Old aircraf...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>First Class</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>no</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Not Verified</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3771 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Rating                                  Title  \\\n",
       "0        8.0  \"stick to their cabin bag size limit\"   \n",
       "1        8.0        \"crew were attentive, friendly\"   \n",
       "2        3.0                   \"Utterly outrageous\"   \n",
       "3        3.0           \"They have a long way to go\"   \n",
       "4        7.0                   \"FA's were friendly\"   \n",
       "...      ...                                    ...   \n",
       "3766     1.0        British Airways customer review   \n",
       "3767     9.0        British Airways customer review   \n",
       "3768     5.0        British Airways customer review   \n",
       "3769     4.0        British Airways customer review   \n",
       "3770     4.0        British Airways customer review   \n",
       "\n",
       "                               Author        Date         Country  \\\n",
       "0     4 reviews\\n\\n\\n\\nMichael Powell  2024-03-21  United Kingdom   \n",
       "1                            N Wardan  2024-03-21          Canada   \n",
       "2                  Solomon Pachtinger  2024-03-19  United Kingdom   \n",
       "3                        Paul Roberts  2024-03-19       Singapore   \n",
       "4         42 reviews\\n\\n\\n\\nE Carmere  2024-03-14         Belgium   \n",
       "...                               ...         ...             ...   \n",
       "3766                      J Robertson  2012-08-29  United Kingdom   \n",
       "3767                       Nick Berry  2012-08-28  United Kingdom   \n",
       "3768                    Avril Barclay  2011-10-12  United Kingdom   \n",
       "3769                           C Volz  2011-10-11   United States   \n",
       "3770                        Russ King  2011-10-09  United Kingdom   \n",
       "\n",
       "                                                 Review  \\\n",
       "0     |  The flight was comfortable enough but with ...   \n",
       "1     |  We had a really good flying experience with...   \n",
       "2     |  Waited an hour to check-in at the Paphos bu...   \n",
       "3     |   Not a great experience at all, from the ou...   \n",
       "4     |  Boarding was difficult caused by vast major...   \n",
       "...                                                 ...   \n",
       "3766  This was a bmi Regional operated flight on a R...   \n",
       "3767  LHR to HAM. Purser addresses all club passenge...   \n",
       "3768  My son who had worked for British Airways urge...   \n",
       "3769  London City-New York JFK via Shannon on A318 b...   \n",
       "3770  SIN-LHR BA12 B747-436 First Class. Old aircraf...   \n",
       "\n",
       "                              Aircraft Type Of Traveller        Seat Type  \\\n",
       "0                                 A320      Solo Leisure    Economy Class   \n",
       "1     Boeing 787-8 /777-200 / A320-200    Family Leisure    Economy Class   \n",
       "2                                 A321          Business   Business Class   \n",
       "3                       Boeing 777-300          Business   Business Class   \n",
       "4                                 A320      Solo Leisure   Business Class   \n",
       "...                                ...               ...              ...   \n",
       "3766                               NaN               NaN    Economy Class   \n",
       "3767                               NaN               NaN   Business Class   \n",
       "3768                               NaN               NaN    Economy Class   \n",
       "3769                               NaN               NaN  Premium Economy   \n",
       "3770                               NaN               NaN      First Class   \n",
       "\n",
       "                                       Route  Date Flown Recommended  \\\n",
       "0                London Heathrow to Toulouse  March 2024         yes   \n",
       "1     Montreal to Venice via London Heathrow  March 2024         yes   \n",
       "2                           Paphos to London  March 2024          no   \n",
       "3                          London to Houston  March 2024          no   \n",
       "4                London Heathrow to Brussels  March 2024         yes   \n",
       "...                                      ...         ...         ...   \n",
       "3766                                     NaN         NaN          no   \n",
       "3767                                     NaN         NaN         yes   \n",
       "3768                                     NaN         NaN         yes   \n",
       "3769                                     NaN         NaN          no   \n",
       "3770                                     NaN         NaN          no   \n",
       "\n",
       "      Seat Comfort  Cabin Staff Service  Ground Service  Value For Money  \\\n",
       "0              4.0                  4.0             3.0                3   \n",
       "1              4.0                  5.0             3.0                4   \n",
       "2              2.0                  1.0             1.0                1   \n",
       "3              1.0                  3.0             1.0                1   \n",
       "4              2.0                  4.0             3.0                3   \n",
       "...            ...                  ...             ...              ...   \n",
       "3766           3.0                  1.0             NaN                3   \n",
       "3767           4.0                  5.0             NaN                3   \n",
       "3768           NaN                  NaN             NaN                4   \n",
       "3769           1.0                  3.0             NaN                1   \n",
       "3770           4.0                  5.0             NaN                2   \n",
       "\n",
       "      Food & Beverages  Inflight Entertainment  Wifi & Connectivity  \\\n",
       "0                  NaN                     NaN                  NaN   \n",
       "1                  5.0                     4.0                  NaN   \n",
       "2                  2.0                     1.0                  2.0   \n",
       "3                  3.0                     2.0                  2.0   \n",
       "4                  3.0                     NaN                  NaN   \n",
       "...                ...                     ...                  ...   \n",
       "3766               2.0                     0.0                  NaN   \n",
       "3767               4.0                     0.0                  NaN   \n",
       "3768               NaN                     NaN                  NaN   \n",
       "3769               5.0                     0.0                  NaN   \n",
       "3770               5.0                     2.0                  NaN   \n",
       "\n",
       "     Verification Status  \n",
       "0           Not Verified  \n",
       "1          Trip Verified  \n",
       "2          Trip Verified  \n",
       "3           Not Verified  \n",
       "4          Trip Verified  \n",
       "...                  ...  \n",
       "3766        Not Verified  \n",
       "3767        Not Verified  \n",
       "3768        Not Verified  \n",
       "3769        Not Verified  \n",
       "3770        Not Verified  \n",
       "\n",
       "[3771 rows x 20 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# List to store verification statuses\n",
    "verification_statuses = []\n",
    "\n",
    "# Iterating through each review\n",
    "for review in df['Review']:\n",
    "    # Checking if the review starts with the symbol ✅\n",
    "    if review.startswith(\"✅\"):\n",
    "        verification_statuses.append(\"Trip Verified\")\n",
    "    else:\n",
    "        verification_statuses.append(\"Not Verified\")\n",
    "\n",
    "df['Verification Status'] = verification_statuses\n",
    "\n",
    "# Replace the phrases \"✅ Trip Verified |\" or \"Not Verified |\" with an empty string\n",
    "df['Review'] = df['Review'].str.replace('✅ Trip Verified |', '', regex = True)\n",
    "df['Review'] = df['Review'].str.replace('Not Verified |', '', regex = True)\n",
    "\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3cc357c1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 3771 entries, 0 to 3770\n",
      "Data columns (total 20 columns):\n",
      " #   Column                  Non-Null Count  Dtype  \n",
      "---  ------                  --------------  -----  \n",
      " 0   Rating                  3766 non-null   float64\n",
      " 1   Title                   3771 non-null   object \n",
      " 2   Author                  3771 non-null   object \n",
      " 3   Date                    3771 non-null   object \n",
      " 4   Country                 3771 non-null   object \n",
      " 5   Review                  3771 non-null   object \n",
      " 6   Aircraft                1964 non-null   object \n",
      " 7   Type Of Traveller       3000 non-null   object \n",
      " 8   Seat Type               3769 non-null   object \n",
      " 9   Route                   2996 non-null   object \n",
      " 10  Date Flown              2993 non-null   object \n",
      " 11  Recommended             3771 non-null   object \n",
      " 12  Seat Comfort            3651 non-null   float64\n",
      " 13  Cabin Staff Service     3639 non-null   float64\n",
      " 14  Ground Service          2923 non-null   float64\n",
      " 15  Value For Money         3771 non-null   int64  \n",
      " 16  Food & Beverages        3370 non-null   float64\n",
      " 17  Inflight Entertainment  2599 non-null   float64\n",
      " 18  Wifi & Connectivity     636 non-null    float64\n",
      " 19  Verification Status     3771 non-null   object \n",
      "dtypes: float64(7), int64(1), object(12)\n",
      "memory usage: 589.3+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0b29e7a8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Value counts for column 'Rating':\n",
      "1.0     885\n",
      "2.0     433\n",
      "3.0     419\n",
      "8.0     375\n",
      "10.0    332\n",
      "7.0     317\n",
      "9.0     313\n",
      "4.0     254\n",
      "5.0     239\n",
      "6.0     199\n",
      "Name: Rating, dtype: int64\n",
      "\n",
      "Value counts for column 'Title':\n",
      "British Airways customer review        956\n",
      "\"never fly British Airways again\"        6\n",
      "\"Overall a good flight\"                  5\n",
      "\"I was pleasantly surprised\"             4\n",
      "\"service was good\"                       3\n",
      "                                      ... \n",
      "\"trying to seat together\"                1\n",
      "\"couple of very good flights\"            1\n",
      "\"service on this flight was superb\"      1\n",
      "\"Very nice experience\"                   1\n",
      "\"cannot fault the service\"               1\n",
      "Name: Title, Length: 2747, dtype: int64\n",
      "\n",
      "Value counts for column 'Author':\n",
      "E Smyth                          32\n",
      "Clive Drake                      32\n",
      "31 reviews\\n\\n\\n\\nDavid Ellis    27\n",
      "David Ellis                      16\n",
      "R Vines                          14\n",
      "                                 ..\n",
      "W Gale                            1\n",
      "2 reviews\\n\\n\\n\\nI Chawtekul      1\n",
      "V Caulsen                         1\n",
      "J Keapher                         1\n",
      "C Volz                            1\n",
      "Name: Author, Length: 3014, dtype: int64\n",
      "\n",
      "Value counts for column 'Date':\n",
      "2015-01-19    26\n",
      "2014-11-20    18\n",
      "2014-10-28    14\n",
      "2014-09-06    12\n",
      "2014-10-22    12\n",
      "              ..\n",
      "2020-01-16     1\n",
      "2020-01-21     1\n",
      "2020-01-22     1\n",
      "2020-01-23     1\n",
      "2011-10-09     1\n",
      "Name: Date, Length: 1874, dtype: int64\n",
      "\n",
      "Value counts for column 'Country':\n",
      "United Kingdom           2370\n",
      "United States             421\n",
      "Australia                 159\n",
      "Canada                    119\n",
      "Germany                    66\n",
      "                         ... \n",
      "Costa Rica                  1\n",
      "Cayman Islands              1\n",
      "Ecuador                     1\n",
      "Saint Kitts and Nevis       1\n",
      "Chile                       1\n",
      "Name: Country, Length: 74, dtype: int64\n",
      "\n",
      "Value counts for column 'Review':\n",
      "MAD to LCY Business. Great lounge at Madrid flight boarding very good food awful service poor arrival at LCY good however baggage awful all bags through but mine priority last off!                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       2\n",
      "Gatwick to Marrakech and back. Bag drop was fast gate was peaceful boarding on time and orderly all staff very pleasant refreshments good and landed on time. Return almost identical just a little late landing after a technical delay taking off. Well worth paying for a quality airline for a 3 hour flight.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          2\n",
      "Flew from LAX-LHR on BA's new A380. The crew are rightfully proud of their new aircraft and could not stop telling the passengers about its status. My seat was picked as 53K Upper Deck. I couldn't believe how cramped it was for this long journey. The divider partition was covered in red wine stains from a previous trip and staff seemed nonchalant about cleanliness. The available width of BA's offering is a big disappointment. Whilst those socially awkward individuals might enjoy the clandestine surroundings I for one do not favour the casket-feel of Club World. The A380 and 787 were a chance to hone the business class offering after much criticism. Execution of the flight was prompt and we pushed back on schedule. I fly a lot for work and am privileged to enjoy the premium cabins but poor attention to detail and very slow service don't inspire a return to a specific carrier. One alcoholic drink was offered just after take off and then the all too familiar menu was wheeled out. BA's menu for this flight was identical to a return LHR-MIA-LHR leg I took back in early December. Lacklustre choices and the infamous warm chicken breast salad. Maybe I was tired and didn't endear myself but it needs to be better. I recently flew the A380 with AF to LAX in Business and that was a role reversal! No limp and greasy bacon sandwich on AF either. LAX Teminal B a massive improvement over the years. From fast immigration to pleasant design it's the leader in aspiring all US airports to improve their standards and get rid of carpet underfoot! Although and in summary is this solely enough in a demanding arena where those availing themselves of premium cabin experiences have quite the opposite.    2\n",
      "I recently travelled with a friend to St Lucia and have to say that BA has once again surpassed my expectations. My travelling companion and I had booked World Traveller Plus and we were delighted to be upgraded to Club Class. The cabin crew were polite and attentive without being intrusive. We were also upgraded on our return and once again the high standards set on the initial journey were matched.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        2\n",
      "London Heathrow to Miami on one of British Airways crummy Boeing 747s. Originally Booked WT Plus choosing flight in an A380 with shiny new updated cabin and entertainment system for 3rd year in a row, and for the 3rd year in a row they promptly changed the plane on my flight for a very elderly and not updated Boeing 747. Do BA actually have any A380's? Reasonably comfortable, but the old on demand entertainment system had a poor choice of films and programs. Cabin staff and food okay from memory but, as usual with British Airways nowadays, very small portions. Took off slightly late in fog, made up time on flight and landed slightly early at Miami. Old aircraft notwithstanding I still think WT Plus is well worth the extra - 7 inches of extra legroom is so much more comfortable than coach.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            2\n",
      "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          ..\n",
      "|  London to Istanbul. Due to poor weather conditions at LHR, the flight was initially delayed by 2 hours which is quite understandable. When the passengers were informed of the gate, everyone gathered at the 'A' gate in T5. Then, no announcement and the ground staff were in a world of their own. Next, there is a screen notice that the flight will depart from a C gate. Everyone rushes to the one of the last of the 'C' gates. Once on board, the dreaded announcement that the flight will be delayed by another hour. The flight finally takes off nearly three hours late. After a while, the crew comes with the M&S gibberish but passengers are so hungry that by the time the crew serve the fifth row in economy the sandwiches are all over and I had packet of crisps and a diet coke for dinner. The flight arrived in Istanbul three hours late and to add insult to injury, the aircraft stops at a remote gate and we have to trek to the terminal.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            1\n",
      "|  London to Cape Town. Flying first class with British Airways is a hit-or-miss affair. But having secured a couple of return flights to Cape Town with Avios, our expectations were running high as we entrusted our car to the meet and greet parking. Unfortunately, Terminal 3 isn't the best starting point and Galleries First lacks glamour - or decent champagnes. The food on offer is adequate, although hardly first class. Hoping for better on board, we didn't use the sit down menu. Boarding was on time and according to BA's new group allocation. Our seats - 2K and 3K - were a first for us, as we've previously gone for pairs in the centre. But seats A and K are definitely superior, with more storage space and better privacy. However, there's no escaping the fact that the relatively recent first class refit is in a relatively ancient plane, particularly when one inspects the shabby state of fittings in the toilets and galley. The IFE is also showing its age and badly in need of an upgrade. But at least it didn't require rebooting on our flight. Cabin crew in first were the usual mixed bag. The FA looking after our side seemed to be in the wrong job. Food was better than usual, although a malfunctioning oven meant that we had to wait 30 minutes for our hot breakfast. Landing was ahead of schedule and we were through immigration and baggage reclaim within 15 minutes. Overall, a decent flight but let down by the attitude of the cabin crew and the age of the plane.                                                                                                                                                                                                                                  1\n",
      "|  London to Hamburg. Typically if I fly BA it is SFO or LAX to LHR. This time I flew them from Miami via Tampa thru LHR to Hamburg. Using their Avios points I secured a first class seat which of course is a scam because BA charges you fees and surcharges to use those points at $500 per direction. Their Miami operation appears to be a poor second class cousin to American as they use two of their ticketing and check in kiosks plus share the American premium class (not) lounge. All the american processed slices of cheese and bologna you can eat with free booze is not what I call a premium lounge. The BA gate in the dreadful E terminal is not even on the main floor but downstairs. People jammed up to the entry points for boarding which creates a mess of boarding people by sections. Boarding was like a cattle call. BA flies one of its oldest B747 into Miami and it showed even in first. The seats were of the older design and it appeared the carpet was recent but the cabin smelled of moldy carpet. The service and food was surprisingly good compared to their service out of California. The flight was late leaving and late arriving, and this Miami flight does not dock in terminal 5. Rather terminal 3 and requiring its passengers to take shuttle buses to the other terminals which is what I did for my connection to Hamburg. In the end I decided I was done with BA because their service model for premium passengers has  hit rock bottom. Their Avios program is nearly worthless on any premium class booking or on its partner airlines. Try using BA points on American or Cathay or even Alaska and you will find it impossible regardless how far in advance you try.                                   1\n",
      "| Turin to London Gatwick. Rubbish check-in service, as bad as Ryanair. I show the staff my mobile boarding pass, checked website that I have 2 x 32 kg bags checked allowance. One bag was over 23 kg (27/28), they refused to honour the 32 kg allowance and told me I will risk myself to miss the flight and not able to check in. They were so rude and unhelpful. Boarding was with the same unhelpful and unprofessional staff with the very arrogant manner. Flight was delayed without the checked-in agent saying anything, after all passengers board they start to tell people there will be an hour or so delay due to weather. At the very least the young crew serve passenger complimentary juice or water during the wait.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                1\n",
      "SIN-LHR BA12 B747-436 First Class. Old aircraft (1998) with seats that are not that private but there are only a few of us in the cabin so ok. A bit tatty but I think the planes are being replaced by A380's soon. Seat itself is comfortable enough. Inflight Entertainment awful: fuzzy screen (low resolution LCD screen way passed it's sell-by date) with limited options. Inconveniently has to be pulled around to be seen and put away for t/off and landing. seat comfortable enough for sleeping. Food and service quintessentially English which is the only real reason to fly BA nowadays - the product just doesn't match other airlines. Toilet cramped and awful but it has a window!                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    1\n",
      "Name: Review, Length: 3758, dtype: int64\n",
      "\n",
      "Value counts for column 'Aircraft':\n",
      "A320                                377\n",
      "Boeing 777                          279\n",
      "Boeing 747-400                      182\n",
      "A380                                170\n",
      "Boeing 777-200                      126\n",
      "                                   ... \n",
      "A380 and 747                          1\n",
      "Boeing 747 and Boeing 777             1\n",
      "Boeing 787(9)                         1\n",
      "Boeing 787-8 /777-200 / A320-200      1\n",
      "Airbus 319                            1\n",
      "Name: Aircraft, Length: 203, dtype: int64\n",
      "\n",
      "Value counts for column 'Type Of Traveller':\n",
      "Couple Leisure    1017\n",
      "Solo Leisure       917\n",
      "Business           652\n",
      "Family Leisure     414\n",
      "Name: Type Of Traveller, dtype: int64\n",
      "\n",
      "Value counts for column 'Seat Type':\n",
      "Economy Class      1961\n",
      "Business Class     1227\n",
      "Premium Economy     365\n",
      "First Class         216\n",
      "Name: Seat Type, dtype: int64\n",
      "\n",
      "Value counts for column 'Route':\n",
      "London to Johannesburg                 20\n",
      "Johannesburg to London                 16\n",
      "London to Cape Town                    15\n",
      "Vancouver to London                    14\n",
      "London to Hong Kong                    14\n",
      "                                       ..\n",
      "Orlando to London Gatwick               1\n",
      "Dublin to Heathrow                      1\n",
      "Budapest to Philadelphia via London     1\n",
      "New York to Budapest via London         1\n",
      "BOM-LHR                                 1\n",
      "Name: Route, Length: 1577, dtype: int64\n",
      "\n",
      "Value counts for column 'Date Flown':\n",
      "August 2015       83\n",
      "September 2015    78\n",
      "November 2015     66\n",
      "April 2017        65\n",
      "October 2015      64\n",
      "                  ..\n",
      "November 2014      2\n",
      "October 2014       1\n",
      "June 2020          1\n",
      "August 2014        1\n",
      "July 2014          1\n",
      "Name: Date Flown, Length: 116, dtype: int64\n",
      "\n",
      "Value counts for column 'Recommended':\n",
      "no     2251\n",
      "yes    1520\n",
      "Name: Recommended, dtype: int64\n",
      "\n",
      "Value counts for column 'Seat Comfort':\n",
      "3.0    871\n",
      "1.0    854\n",
      "4.0    828\n",
      "2.0    603\n",
      "5.0    495\n",
      "Name: Seat Comfort, dtype: int64\n",
      "\n",
      "Value counts for column 'Cabin Staff Service':\n",
      "5.0    1056\n",
      "4.0     726\n",
      "1.0     712\n",
      "3.0     641\n",
      "2.0     504\n",
      "Name: Cabin Staff Service, dtype: int64\n",
      "\n",
      "Value counts for column 'Ground Service':\n",
      "1.0    900\n",
      "4.0    642\n",
      "3.0    577\n",
      "5.0    438\n",
      "2.0    366\n",
      "Name: Ground Service, dtype: int64\n",
      "\n",
      "Value counts for column 'Value For Money':\n",
      "1    1229\n",
      "4     686\n",
      "3     679\n",
      "2     593\n",
      "5     583\n",
      "0       1\n",
      "Name: Value For Money, dtype: int64\n",
      "\n",
      "Value counts for column 'Food & Beverages':\n",
      "1.0    1017\n",
      "4.0     663\n",
      "3.0     624\n",
      "2.0     576\n",
      "5.0     489\n",
      "0.0       1\n",
      "Name: Food & Beverages, dtype: int64\n",
      "\n",
      "Value counts for column 'Inflight Entertainment':\n",
      "1.0    795\n",
      "3.0    559\n",
      "4.0    478\n",
      "2.0    436\n",
      "5.0    321\n",
      "0.0     10\n",
      "Name: Inflight Entertainment, dtype: int64\n",
      "\n",
      "Value counts for column 'Wifi & Connectivity':\n",
      "1.0    387\n",
      "3.0     78\n",
      "2.0     68\n",
      "5.0     55\n",
      "4.0     48\n",
      "Name: Wifi & Connectivity, dtype: int64\n",
      "\n",
      "Value counts for column 'Verification Status':\n",
      "Trip Verified    1974\n",
      "Not Verified     1797\n",
      "Name: Verification Status, dtype: int64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Viewing the count of unique values in each column\n",
    "for column in df.columns:\n",
    "    value_counts = df[column].value_counts()\n",
    "    print(f\"Value counts for column '{column}':\")\n",
    "    print(value_counts)\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "266e9bb4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Rating                     0.132591\n",
       "Title                      0.000000\n",
       "Author                     0.000000\n",
       "Date                       0.000000\n",
       "Country                    0.000000\n",
       "Review                     0.000000\n",
       "Aircraft                  47.918324\n",
       "Type Of Traveller         20.445505\n",
       "Seat Type                  0.053036\n",
       "Route                     20.551578\n",
       "Date Flown                20.631132\n",
       "Recommended                0.000000\n",
       "Seat Comfort               3.182180\n",
       "Cabin Staff Service        3.500398\n",
       "Ground Service            22.487404\n",
       "Value For Money            0.000000\n",
       "Food & Beverages          10.633784\n",
       "Inflight Entertainment    31.079289\n",
       "Wifi & Connectivity       83.134447\n",
       "Verification Status        0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Percentage of Missing Value\n",
    "percentage_nan = df.isna().mean() * 100\n",
    "percentage_nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d65e1e4f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Assuming df is already defined or imported\n",
    "review = pd.DataFrame()  # Creating an empty DataFrame\n",
    "\n",
    "# Assuming df['Review'] is a column in DataFrame df\n",
    "review['Review'] = df['Review']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ee65b945",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From D:\\D\\Lib\\site-packages\\tf_keras\\src\\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     C:\\Users\\hp\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n",
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     C:\\Users\\hp\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n",
      "[nltk_data] Downloading package wordnet to\n",
      "[nltk_data]     C:\\Users\\hp\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package wordnet is already up-to-date!\n",
      "Some weights of the model checkpoint at dslim/bert-base-NER were not used when initializing BertForTokenClassification: ['bert.pooler.dense.bias', 'bert.pooler.dense.weight']\n",
      "- This IS expected if you are initializing BertForTokenClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
      "- This IS NOT expected if you are initializing BertForTokenClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n",
      "D:\\D\\Lib\\site-packages\\transformers\\pipelines\\token_classification.py:168: UserWarning: `grouped_entities` is deprecated and will be removed in version v5.0.0, defaulted to `aggregation_strategy=\"AggregationStrategy.SIMPLE\"` instead.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "import re\n",
    "import nltk\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.tokenize import word_tokenize\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "from transformers import pipeline\n",
    "import tensorflow as tf  \n",
    "import tf_keras as keras\n",
    "import torch\n",
    "from transformers import AutoTokenizer, AutoModelForTokenClassification \n",
    "\n",
    "nltk.download('punkt')\n",
    "nltk.download('stopwords')\n",
    "nltk.download('wordnet')\n",
    "\n",
    "tokenizer = AutoTokenizer.from_pretrained(\"dslim/bert-base-NER\")\n",
    "model = AutoModelForTokenClassification.from_pretrained(\"dslim/bert-base-NER\")\n",
    "\n",
    "# Load model for Named Entity Recognition (NER)\n",
    "ner_model = pipeline(\"ner\", model=model, tokenizer=tokenizer, grouped_entities=True)\n",
    "\n",
    "# Define text preprocessing functions\n",
    "def lowercase(text):\n",
    "    return text.lower()\n",
    "\n",
    "def remove_unnecessary_char(text):\n",
    "    text = re.sub(r'\\n', ' ', text)  # Remove any '\\n'\n",
    "    text = re.sub(r' +', ' ', text)  # Remove extra spaces\n",
    "    return text.strip()\n",
    "\n",
    "def remove_nonaplhanumeric(text):\n",
    "    text = re.sub(r'[^a-zA-Z]+', ' ', text)  # Remove non-alphanumeric characters\n",
    "    return text\n",
    "\n",
    "def remove_stopword(text):\n",
    "    stop_words = set(stopwords.words('english'))\n",
    "    words = text.split()\n",
    "    filtered_words = [word for word in words if word.lower() not in stop_words]\n",
    "    return ' '.join(filtered_words)\n",
    "\n",
    "# Function to remove named entities using BERT NER\n",
    "def remove_named_entities_bert(text):\n",
    "    # Process text using BERT NER\n",
    "    entities = ner_model(text)\n",
    "\n",
    "    # Extract named entities\n",
    "    named_entities = [entity['word'] for entity in entities if entity['word'] != '']\n",
    "\n",
    "    # Remove named entities from text\n",
    "    for entity in named_entities:\n",
    "        text = text.replace(entity, '')\n",
    "\n",
    "    return text\n",
    "\n",
    "# Create an instance of the WordNetLemmatizer\n",
    "lemmatizer = WordNetLemmatizer()\n",
    "def lemmatize_text(text):\n",
    "    tokens = word_tokenize(text)\n",
    "    lemmatized_tokens = [lemmatizer.lemmatize(token) for token in tokens]\n",
    "    return ' '.join(lemmatized_tokens)\n",
    "\n",
    "# Complete text preprocessing\n",
    "def preprocess(text):\n",
    "    text = remove_nonaplhanumeric(text)  # Remove non-alphanumeric characters\n",
    "    text = remove_named_entities_bert(text) # Remove named entities (NER)\n",
    "    text = remove_unnecessary_char(text)  # Remove unnecessary characters\n",
    "    text = lowercase(text)  # Lowercase text\n",
    "    text = remove_stopword(text)  # Remove stop words and entities\n",
    "    text = lemmatize_text(text)  # Perform lemmatization\n",
    "    return text\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "46ffb4a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "review['Review_clean'] = review['Review'].apply(preprocess)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b3ad56fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Review</th>\n",
       "      <th>Review_clean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>|  The flight was comfortable enough but with ...</td>\n",
       "      <td>flight comfortable enough hour delay return le...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>|  We had a really good flying experience with...</td>\n",
       "      <td>really good flying experience travelling young...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>|  Waited an hour to check-in at the Paphos bu...</td>\n",
       "      <td>waited hour check business check staff utterly...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>|   Not a great experience at all, from the ou...</td>\n",
       "      <td>great experience outset poorly managed bused u...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>|  Boarding was difficult caused by vast major...</td>\n",
       "      <td>boarding difficult caused vast majority passen...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3766</th>\n",
       "      <td>This was a bmi Regional operated flight on a R...</td>\n",
       "      <td>bmi operated flight j flight number report boa...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3767</th>\n",
       "      <td>LHR to HAM. Purser addresses all club passenge...</td>\n",
       "      <td>hr ham urser address club passenger name board...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3768</th>\n",
       "      <td>My son who had worked for British Airways urge...</td>\n",
       "      <td>son worked urged fly recommended join executiv...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3769</th>\n",
       "      <td>London City-New York JFK via Shannon on A318 b...</td>\n",
       "      <td>via really nice seat professional crew al serv...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3770</th>\n",
       "      <td>SIN-LHR BA12 B747-436 First Class. Old aircraf...</td>\n",
       "      <td>sin hr b first class old aircraft seat private...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3771 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 Review  \\\n",
       "0     |  The flight was comfortable enough but with ...   \n",
       "1     |  We had a really good flying experience with...   \n",
       "2     |  Waited an hour to check-in at the Paphos bu...   \n",
       "3     |   Not a great experience at all, from the ou...   \n",
       "4     |  Boarding was difficult caused by vast major...   \n",
       "...                                                 ...   \n",
       "3766  This was a bmi Regional operated flight on a R...   \n",
       "3767  LHR to HAM. Purser addresses all club passenge...   \n",
       "3768  My son who had worked for British Airways urge...   \n",
       "3769  London City-New York JFK via Shannon on A318 b...   \n",
       "3770  SIN-LHR BA12 B747-436 First Class. Old aircraf...   \n",
       "\n",
       "                                           Review_clean  \n",
       "0     flight comfortable enough hour delay return le...  \n",
       "1     really good flying experience travelling young...  \n",
       "2     waited hour check business check staff utterly...  \n",
       "3     great experience outset poorly managed bused u...  \n",
       "4     boarding difficult caused vast majority passen...  \n",
       "...                                                 ...  \n",
       "3766  bmi operated flight j flight number report boa...  \n",
       "3767  hr ham urser address club passenger name board...  \n",
       "3768  son worked urged fly recommended join executiv...  \n",
       "3769  via really nice seat professional crew al serv...  \n",
       "3770  sin hr b first class old aircraft seat private...  \n",
       "\n",
       "[3771 rows x 2 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "review"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e88bb711",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package vader_lexicon to\n",
      "[nltk_data]     C:\\Users\\hp\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package vader_lexicon is already up-to-date!\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                              Review  \\\n",
      "0  |  The flight was comfortable enough but with ...   \n",
      "1  |  We had a really good flying experience with...   \n",
      "2  |  Waited an hour to check-in at the Paphos bu...   \n",
      "3  |   Not a great experience at all, from the ou...   \n",
      "4  |  Boarding was difficult caused by vast major...   \n",
      "\n",
      "                                        Review_clean  Sentiment_Vader  \\\n",
      "0  flight comfortable enough hour delay return le...           0.3182   \n",
      "1  really good flying experience travelling young...           0.9802   \n",
      "2  waited hour check business check staff utterly...          -0.8706   \n",
      "3  great experience outset poorly managed bused u...           0.7003   \n",
      "4  boarding difficult caused vast majority passen...           0.9178   \n",
      "\n",
      "  Sentiment_Category_Vader  \n",
      "0                 Positive  \n",
      "1                 Positive  \n",
      "2                 Negative  \n",
      "3                 Positive  \n",
      "4                 Positive  \n"
     ]
    }
   ],
   "source": [
    "nltk.download('vader_lexicon')\n",
    "from nltk.sentiment.vader import SentimentIntensityAnalyzer\n",
    "\n",
    "analyzer = SentimentIntensityAnalyzer()\n",
    "\n",
    "review['Sentiment_Vader'] = review['Review_clean'].apply(lambda x: analyzer.polarity_scores(x)['compound'])\n",
    "\n",
    "# Function to classify sentiment into positive, negative, or neutral categories\n",
    "def classify_sentiment(score):\n",
    "    if score >= 0.05:\n",
    "        return 'Positive'\n",
    "    elif score <= -0.05:\n",
    "        return 'Negative'\n",
    "    else:\n",
    "        return 'Neutral'\n",
    "\n",
    "# Apply the classification function to the 'Sentiment' column to create a new column 'Sentiment_Category'\n",
    "review['Sentiment_Category_Vader'] = review['Sentiment_Vader'].apply(classify_sentiment)\n",
    "print(review.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "16ce51f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Review</th>\n",
       "      <th>Review_clean</th>\n",
       "      <th>Sentiment_Vader</th>\n",
       "      <th>Sentiment_Category_Vader</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>|  The flight was comfortable enough but with ...</td>\n",
       "      <td>flight comfortable enough hour delay return le...</td>\n",
       "      <td>0.3182</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>|  We had a really good flying experience with...</td>\n",
       "      <td>really good flying experience travelling young...</td>\n",
       "      <td>0.9802</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>|  Waited an hour to check-in at the Paphos bu...</td>\n",
       "      <td>waited hour check business check staff utterly...</td>\n",
       "      <td>-0.8706</td>\n",
       "      <td>Negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>|   Not a great experience at all, from the ou...</td>\n",
       "      <td>great experience outset poorly managed bused u...</td>\n",
       "      <td>0.7003</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>|  Boarding was difficult caused by vast major...</td>\n",
       "      <td>boarding difficult caused vast majority passen...</td>\n",
       "      <td>0.9178</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3766</th>\n",
       "      <td>This was a bmi Regional operated flight on a R...</td>\n",
       "      <td>bmi operated flight j flight number report boa...</td>\n",
       "      <td>0.3182</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3767</th>\n",
       "      <td>LHR to HAM. Purser addresses all club passenge...</td>\n",
       "      <td>hr ham urser address club passenger name board...</td>\n",
       "      <td>0.7650</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3768</th>\n",
       "      <td>My son who had worked for British Airways urge...</td>\n",
       "      <td>son worked urged fly recommended join executiv...</td>\n",
       "      <td>0.7003</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3769</th>\n",
       "      <td>London City-New York JFK via Shannon on A318 b...</td>\n",
       "      <td>via really nice seat professional crew al serv...</td>\n",
       "      <td>0.8070</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3770</th>\n",
       "      <td>SIN-LHR BA12 B747-436 First Class. Old aircraf...</td>\n",
       "      <td>sin hr b first class old aircraft seat private...</td>\n",
       "      <td>-0.5859</td>\n",
       "      <td>Negative</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3771 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 Review  \\\n",
       "0     |  The flight was comfortable enough but with ...   \n",
       "1     |  We had a really good flying experience with...   \n",
       "2     |  Waited an hour to check-in at the Paphos bu...   \n",
       "3     |   Not a great experience at all, from the ou...   \n",
       "4     |  Boarding was difficult caused by vast major...   \n",
       "...                                                 ...   \n",
       "3766  This was a bmi Regional operated flight on a R...   \n",
       "3767  LHR to HAM. Purser addresses all club passenge...   \n",
       "3768  My son who had worked for British Airways urge...   \n",
       "3769  London City-New York JFK via Shannon on A318 b...   \n",
       "3770  SIN-LHR BA12 B747-436 First Class. Old aircraf...   \n",
       "\n",
       "                                           Review_clean  Sentiment_Vader  \\\n",
       "0     flight comfortable enough hour delay return le...           0.3182   \n",
       "1     really good flying experience travelling young...           0.9802   \n",
       "2     waited hour check business check staff utterly...          -0.8706   \n",
       "3     great experience outset poorly managed bused u...           0.7003   \n",
       "4     boarding difficult caused vast majority passen...           0.9178   \n",
       "...                                                 ...              ...   \n",
       "3766  bmi operated flight j flight number report boa...           0.3182   \n",
       "3767  hr ham urser address club passenger name board...           0.7650   \n",
       "3768  son worked urged fly recommended join executiv...           0.7003   \n",
       "3769  via really nice seat professional crew al serv...           0.8070   \n",
       "3770  sin hr b first class old aircraft seat private...          -0.5859   \n",
       "\n",
       "     Sentiment_Category_Vader  \n",
       "0                    Positive  \n",
       "1                    Positive  \n",
       "2                    Negative  \n",
       "3                    Positive  \n",
       "4                    Positive  \n",
       "...                       ...  \n",
       "3766                 Positive  \n",
       "3767                 Positive  \n",
       "3768                 Positive  \n",
       "3769                 Positive  \n",
       "3770                 Negative  \n",
       "\n",
       "[3771 rows x 4 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "review"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "279b1bb6",
   "metadata": {},
   "outputs": [],
   "source": [
    "from afinn import Afinn\n",
    "\n",
    "# Membuat objek Afinn\n",
    "afinn = Afinn()\n",
    "\n",
    "# Function to classify sentiment into positive, negative, or neutral categories\n",
    "def classify_sentiment(score):\n",
    "    if score >= 3:\n",
    "        return 'Positive'\n",
    "    elif score <= -3:\n",
    "        return 'Negative'\n",
    "    else:\n",
    "        return 'Neutral'\n",
    "\n",
    "# Menggunakan fungsi Afinn untuk menghitung skor sentimen dan mengklasifikasikannya\n",
    "review['Sentiment_Afinn'] = review['Review_clean'].apply(lambda x: afinn.score(x))\n",
    "review['Sentiment_Category_Afinn'] = review['Sentiment_Afinn'].apply(classify_sentiment)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "029ddced",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     C:\\Users\\hp\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n",
      "[nltk_data] Downloading package sentiwordnet to\n",
      "[nltk_data]     C:\\Users\\hp\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package sentiwordnet is already up-to-date!\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                              Review  \\\n",
      "0  |  The flight was comfortable enough but with ...   \n",
      "1  |  We had a really good flying experience with...   \n",
      "2  |  Waited an hour to check-in at the Paphos bu...   \n",
      "3  |   Not a great experience at all, from the ou...   \n",
      "4  |  Boarding was difficult caused by vast major...   \n",
      "\n",
      "                                        Review_clean  Sentiment_Vader  \\\n",
      "0  flight comfortable enough hour delay return le...           0.3182   \n",
      "1  really good flying experience travelling young...           0.9802   \n",
      "2  waited hour check business check staff utterly...          -0.8706   \n",
      "3  great experience outset poorly managed bused u...           0.7003   \n",
      "4  boarding difficult caused vast majority passen...           0.9178   \n",
      "\n",
      "  Sentiment_Category_Vader  Sentiment_Afinn Sentiment_Category_Afinn  \\\n",
      "0                 Positive              2.0                  Neutral   \n",
      "1                 Positive             12.0                 Positive   \n",
      "2                 Negative             -5.0                 Negative   \n",
      "3                 Positive              1.0                  Neutral   \n",
      "4                 Positive              5.0                 Positive   \n",
      "\n",
      "   Sentiment_SentiWordNet Sentiment_Category_SentiWordNet  \n",
      "0               -0.025735                        Negative  \n",
      "1                0.022978                        Positive  \n",
      "2                0.010714                        Positive  \n",
      "3               -0.014881                        Negative  \n",
      "4                0.032051                        Positive  \n"
     ]
    }
   ],
   "source": [
    "import nltk\n",
    "from nltk.corpus import sentiwordnet as swn\n",
    "from nltk.tokenize import word_tokenize\n",
    "\n",
    "# Pastikan Anda telah mengunduh paket yang diperlukan\n",
    "nltk.download('punkt')\n",
    "nltk.download('sentiwordnet')\n",
    "\n",
    "# Fungsi untuk mendapatkan skor sentimen dari teks menggunakan SentiWordNet\n",
    "def get_sentiment_score(text):\n",
    "    total_score = 0\n",
    "    tokens_count = 0\n",
    "    tokens = word_tokenize(text)\n",
    "    for token in tokens:\n",
    "        synsets = list(swn.senti_synsets(token))\n",
    "        if synsets:\n",
    "            # Ambil sentimen dari synset pertama\n",
    "            synset = synsets[0]\n",
    "            # Hitung skor sentimen\n",
    "            sentiment_score = synset.pos_score() - synset.neg_score()\n",
    "            # Tambahkan skor sentimen ke total\n",
    "            total_score += sentiment_score\n",
    "            # Hitung jumlah token yang memiliki sentimen\n",
    "            tokens_count += 1\n",
    "    # Hitung rata-rata skor sentimen jika ada token yang memiliki sentimen\n",
    "    if tokens_count > 0:\n",
    "        average_score = total_score / tokens_count\n",
    "        return average_score\n",
    "    else:\n",
    "        return 0  # Jika tidak ada token dengan sentimen, kembalikan skor nol\n",
    "\n",
    "# Terapkan fungsi pada kolom 'Review_clean'\n",
    "review['Sentiment_SentiWordNet'] = review['Review_clean'].apply(get_sentiment_score)\n",
    "\n",
    "# Klasifikasikan sentimen\n",
    "def classify_sentiment(score):\n",
    "    if score > 0:\n",
    "        return 'Positive'\n",
    "    elif score < 0:\n",
    "        return 'Negative'\n",
    "    else:\n",
    "        return 'Neutral'\n",
    "\n",
    "# Terapkan fungsi klasifikasi pada kolom 'Sentiment_SentiWordNet' untuk mendapatkan kategori sentimen\n",
    "review['Sentiment_Category_SentiWordNet'] = review['Sentiment_SentiWordNet'].apply(classify_sentiment)\n",
    "\n",
    "# Tampilkan beberapa contoh data\n",
    "print(review.head())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "86e36592",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                              Review  \\\n",
      "0  |  The flight was comfortable enough but with ...   \n",
      "1  |  We had a really good flying experience with...   \n",
      "2  |  Waited an hour to check-in at the Paphos bu...   \n",
      "3  |   Not a great experience at all, from the ou...   \n",
      "4  |  Boarding was difficult caused by vast major...   \n",
      "\n",
      "                                        Review_clean  Sentiment_Vader  \\\n",
      "0  flight comfortable enough hour delay return le...           0.3182   \n",
      "1  really good flying experience travelling young...           0.9802   \n",
      "2  waited hour check business check staff utterly...          -0.8706   \n",
      "3  great experience outset poorly managed bused u...           0.7003   \n",
      "4  boarding difficult caused vast majority passen...           0.9178   \n",
      "\n",
      "  Sentiment_Category_Vader  Sentiment_Afinn Sentiment_Category_Afinn  \\\n",
      "0                 Positive              2.0                  Neutral   \n",
      "1                 Positive             12.0                 Positive   \n",
      "2                 Negative             -5.0                 Negative   \n",
      "3                 Positive              1.0                  Neutral   \n",
      "4                 Positive              5.0                 Positive   \n",
      "\n",
      "   Sentiment_SentiWordNet Sentiment_Category_SentiWordNet  \\\n",
      "0               -0.025735                        Negative   \n",
      "1                0.022978                        Positive   \n",
      "2                0.010714                        Positive   \n",
      "3               -0.014881                        Negative   \n",
      "4                0.032051                        Positive   \n",
      "\n",
      "  Final_Sentiment_Category  \n",
      "0                 Negative  \n",
      "1                 Positive  \n",
      "2                 Negative  \n",
      "3                 Negative  \n",
      "4                 Positive  \n"
     ]
    }
   ],
   "source": [
    "# Fungsi untuk menentukan kategori sentimen akhir berdasarkan hasil dari ketiga metode\n",
    "def final_sentiment_category(row):\n",
    "    # Jika salah satu metode menghasilkan kategori sentimen negatif, maka kategorinya dianggap negatif\n",
    "    if row['Sentiment_Category_SentiWordNet'] == 'Negative' or \\\n",
    "       row['Sentiment_Category_Vader'] == 'Negative' or \\\n",
    "       row['Sentiment_Category_Afinn'] == 'Negative':\n",
    "        return 'Negative'\n",
    "    # Jika semua metode menghasilkan kategori sentimen positif, maka kategorinya dianggap positif\n",
    "    elif row['Sentiment_Category_SentiWordNet'] == 'Positive' and \\\n",
    "         row['Sentiment_Category_Vader'] == 'Positive' and \\\n",
    "         row['Sentiment_Category_Afinn'] == 'Positive':\n",
    "        return 'Positive'\n",
    "    else:\n",
    "        return 'Neutral'  # Jika tidak ada dari kondisi di atas yang terpenuhi, kategorinya dianggap netral\n",
    "\n",
    "# Terapkan fungsi pada setiap baris dalam dataframe untuk mendapatkan kategori sentimen akhir\n",
    "review['Final_Sentiment_Category'] = review.apply(final_sentiment_category, axis=1)\n",
    "\n",
    "# Tampilkan beberapa contoh data\n",
    "print(review.head())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5cd40ee4",
   "metadata": {},
   "outputs": [],
   "source": [
    "review.to_excel('C:/Data Science - British Airways/Data/sentiment analysis (British Airways).xlsx', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a9b3c8e1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Sentiment'] =review['Final_Sentiment_Category']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fc58b1fb",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Save the dataframe to an Excel file\n",
    "df.to_excel('C:/Data Science - British Airways/Data/data_airline-reviews(British Airways)(fix).xlsx', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "3d3eedb7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from wordcloud import WordCloud\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "# Gabungkan semua teks dalam kolom 'Review_clean' menjadi satu teks\n",
    "text = ' '.join(review['Review_clean'])\n",
    "\n",
    "# Buat WordCloud\n",
    "wordcloud = WordCloud(width=800, height=400, background_color='white').generate(text)\n",
    "\n",
    "# Tampilkan WordCloud\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis('off')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "12d4c6d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rating</th>\n",
       "      <th>Title</th>\n",
       "      <th>Author</th>\n",
       "      <th>Date</th>\n",
       "      <th>Country</th>\n",
       "      <th>Review</th>\n",
       "      <th>Aircraft</th>\n",
       "      <th>Type Of Traveller</th>\n",
       "      <th>Seat Type</th>\n",
       "      <th>Route</th>\n",
       "      <th>...</th>\n",
       "      <th>Recommended</th>\n",
       "      <th>Seat Comfort</th>\n",
       "      <th>Cabin Staff Service</th>\n",
       "      <th>Ground Service</th>\n",
       "      <th>Value For Money</th>\n",
       "      <th>Food &amp; Beverages</th>\n",
       "      <th>Inflight Entertainment</th>\n",
       "      <th>Wifi &amp; Connectivity</th>\n",
       "      <th>Verification Status</th>\n",
       "      <th>Sentiment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8.0</td>\n",
       "      <td>\"stick to their cabin bag size limit\"</td>\n",
       "      <td>4 reviews\\n\\n\\n\\nMichael Powell</td>\n",
       "      <td>2024-03-21</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>|  The flight was comfortable enough but with ...</td>\n",
       "      <td>A320</td>\n",
       "      <td>Solo Leisure</td>\n",
       "      <td>Economy Class</td>\n",
       "      <td>London Heathrow to Toulouse</td>\n",
       "      <td>...</td>\n",
       "      <td>yes</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8.0</td>\n",
       "      <td>\"crew were attentive, friendly\"</td>\n",
       "      <td>N Wardan</td>\n",
       "      <td>2024-03-21</td>\n",
       "      <td>Canada</td>\n",
       "      <td>|  We had a really good flying experience with...</td>\n",
       "      <td>Boeing 787-8 /777-200 / A320-200</td>\n",
       "      <td>Family Leisure</td>\n",
       "      <td>Economy Class</td>\n",
       "      <td>Montreal to Venice via London Heathrow</td>\n",
       "      <td>...</td>\n",
       "      <td>yes</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Trip Verified</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>\"Utterly outrageous\"</td>\n",
       "      <td>Solomon Pachtinger</td>\n",
       "      <td>2024-03-19</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>|  Waited an hour to check-in at the Paphos bu...</td>\n",
       "      <td>A321</td>\n",
       "      <td>Business</td>\n",
       "      <td>Business Class</td>\n",
       "      <td>Paphos to London</td>\n",
       "      <td>...</td>\n",
       "      <td>no</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Trip Verified</td>\n",
       "      <td>Negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.0</td>\n",
       "      <td>\"They have a long way to go\"</td>\n",
       "      <td>Paul Roberts</td>\n",
       "      <td>2024-03-19</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>|   Not a great experience at all, from the ou...</td>\n",
       "      <td>Boeing 777-300</td>\n",
       "      <td>Business</td>\n",
       "      <td>Business Class</td>\n",
       "      <td>London to Houston</td>\n",
       "      <td>...</td>\n",
       "      <td>no</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.0</td>\n",
       "      <td>\"FA's were friendly\"</td>\n",
       "      <td>42 reviews\\n\\n\\n\\nE Carmere</td>\n",
       "      <td>2024-03-14</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>|  Boarding was difficult caused by vast major...</td>\n",
       "      <td>A320</td>\n",
       "      <td>Solo Leisure</td>\n",
       "      <td>Business Class</td>\n",
       "      <td>London Heathrow to Brussels</td>\n",
       "      <td>...</td>\n",
       "      <td>yes</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Trip Verified</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3766</th>\n",
       "      <td>1.0</td>\n",
       "      <td>British Airways customer review</td>\n",
       "      <td>J Robertson</td>\n",
       "      <td>2012-08-29</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>This was a bmi Regional operated flight on a R...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Economy Class</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>no</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3767</th>\n",
       "      <td>9.0</td>\n",
       "      <td>British Airways customer review</td>\n",
       "      <td>Nick Berry</td>\n",
       "      <td>2012-08-28</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>LHR to HAM. Purser addresses all club passenge...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Business Class</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>yes</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3768</th>\n",
       "      <td>5.0</td>\n",
       "      <td>British Airways customer review</td>\n",
       "      <td>Avril Barclay</td>\n",
       "      <td>2011-10-12</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>My son who had worked for British Airways urge...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Economy Class</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3769</th>\n",
       "      <td>4.0</td>\n",
       "      <td>British Airways customer review</td>\n",
       "      <td>C Volz</td>\n",
       "      <td>2011-10-11</td>\n",
       "      <td>United States</td>\n",
       "      <td>London City-New York JFK via Shannon on A318 b...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Premium Economy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>no</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3770</th>\n",
       "      <td>4.0</td>\n",
       "      <td>British Airways customer review</td>\n",
       "      <td>Russ King</td>\n",
       "      <td>2011-10-09</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>SIN-LHR BA12 B747-436 First Class. Old aircraf...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>First Class</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>no</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Not Verified</td>\n",
       "      <td>Negative</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3771 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Rating                                  Title  \\\n",
       "0        8.0  \"stick to their cabin bag size limit\"   \n",
       "1        8.0        \"crew were attentive, friendly\"   \n",
       "2        3.0                   \"Utterly outrageous\"   \n",
       "3        3.0           \"They have a long way to go\"   \n",
       "4        7.0                   \"FA's were friendly\"   \n",
       "...      ...                                    ...   \n",
       "3766     1.0        British Airways customer review   \n",
       "3767     9.0        British Airways customer review   \n",
       "3768     5.0        British Airways customer review   \n",
       "3769     4.0        British Airways customer review   \n",
       "3770     4.0        British Airways customer review   \n",
       "\n",
       "                               Author        Date         Country  \\\n",
       "0     4 reviews\\n\\n\\n\\nMichael Powell  2024-03-21  United Kingdom   \n",
       "1                            N Wardan  2024-03-21          Canada   \n",
       "2                  Solomon Pachtinger  2024-03-19  United Kingdom   \n",
       "3                        Paul Roberts  2024-03-19       Singapore   \n",
       "4         42 reviews\\n\\n\\n\\nE Carmere  2024-03-14         Belgium   \n",
       "...                               ...         ...             ...   \n",
       "3766                      J Robertson  2012-08-29  United Kingdom   \n",
       "3767                       Nick Berry  2012-08-28  United Kingdom   \n",
       "3768                    Avril Barclay  2011-10-12  United Kingdom   \n",
       "3769                           C Volz  2011-10-11   United States   \n",
       "3770                        Russ King  2011-10-09  United Kingdom   \n",
       "\n",
       "                                                 Review  \\\n",
       "0     |  The flight was comfortable enough but with ...   \n",
       "1     |  We had a really good flying experience with...   \n",
       "2     |  Waited an hour to check-in at the Paphos bu...   \n",
       "3     |   Not a great experience at all, from the ou...   \n",
       "4     |  Boarding was difficult caused by vast major...   \n",
       "...                                                 ...   \n",
       "3766  This was a bmi Regional operated flight on a R...   \n",
       "3767  LHR to HAM. Purser addresses all club passenge...   \n",
       "3768  My son who had worked for British Airways urge...   \n",
       "3769  London City-New York JFK via Shannon on A318 b...   \n",
       "3770  SIN-LHR BA12 B747-436 First Class. Old aircraf...   \n",
       "\n",
       "                              Aircraft Type Of Traveller        Seat Type  \\\n",
       "0                                 A320      Solo Leisure    Economy Class   \n",
       "1     Boeing 787-8 /777-200 / A320-200    Family Leisure    Economy Class   \n",
       "2                                 A321          Business   Business Class   \n",
       "3                       Boeing 777-300          Business   Business Class   \n",
       "4                                 A320      Solo Leisure   Business Class   \n",
       "...                                ...               ...              ...   \n",
       "3766                               NaN               NaN    Economy Class   \n",
       "3767                               NaN               NaN   Business Class   \n",
       "3768                               NaN               NaN    Economy Class   \n",
       "3769                               NaN               NaN  Premium Economy   \n",
       "3770                               NaN               NaN      First Class   \n",
       "\n",
       "                                       Route  ... Recommended Seat Comfort  \\\n",
       "0                London Heathrow to Toulouse  ...         yes          4.0   \n",
       "1     Montreal to Venice via London Heathrow  ...         yes          4.0   \n",
       "2                           Paphos to London  ...          no          2.0   \n",
       "3                          London to Houston  ...          no          1.0   \n",
       "4                London Heathrow to Brussels  ...         yes          2.0   \n",
       "...                                      ...  ...         ...          ...   \n",
       "3766                                     NaN  ...          no          3.0   \n",
       "3767                                     NaN  ...         yes          4.0   \n",
       "3768                                     NaN  ...         yes          NaN   \n",
       "3769                                     NaN  ...          no          1.0   \n",
       "3770                                     NaN  ...          no          4.0   \n",
       "\n",
       "      Cabin Staff Service  Ground Service  Value For Money  Food & Beverages  \\\n",
       "0                     4.0             3.0                3               NaN   \n",
       "1                     5.0             3.0                4               5.0   \n",
       "2                     1.0             1.0                1               2.0   \n",
       "3                     3.0             1.0                1               3.0   \n",
       "4                     4.0             3.0                3               3.0   \n",
       "...                   ...             ...              ...               ...   \n",
       "3766                  1.0             NaN                3               2.0   \n",
       "3767                  5.0             NaN                3               4.0   \n",
       "3768                  NaN             NaN                4               NaN   \n",
       "3769                  3.0             NaN                1               5.0   \n",
       "3770                  5.0             NaN                2               5.0   \n",
       "\n",
       "      Inflight Entertainment  Wifi & Connectivity  Verification Status  \\\n",
       "0                        NaN                  NaN         Not Verified   \n",
       "1                        4.0                  NaN        Trip Verified   \n",
       "2                        1.0                  2.0        Trip Verified   \n",
       "3                        2.0                  2.0         Not Verified   \n",
       "4                        NaN                  NaN        Trip Verified   \n",
       "...                      ...                  ...                  ...   \n",
       "3766                     0.0                  NaN         Not Verified   \n",
       "3767                     0.0                  NaN         Not Verified   \n",
       "3768                     NaN                  NaN         Not Verified   \n",
       "3769                     0.0                  NaN         Not Verified   \n",
       "3770                     2.0                  NaN         Not Verified   \n",
       "\n",
       "     Sentiment  \n",
       "0     Negative  \n",
       "1     Positive  \n",
       "2     Negative  \n",
       "3     Negative  \n",
       "4     Positive  \n",
       "...        ...  \n",
       "3766   Neutral  \n",
       "3767  Positive  \n",
       "3768  Positive  \n",
       "3769  Positive  \n",
       "3770  Negative  \n",
       "\n",
       "[3771 rows x 21 columns]"
      ]
     },
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