diff --git a/Working with Text.ipynb b/Working with Text.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "76"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "text1 = \"Ethics are built right into the ideals and objectives of the United Nations \"\n",
+    "\n",
+    "len(text1) # The length of text1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "14"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "text2 = text1.split(' ') # Return a list of the words in text2, separating by ' '.\n",
+    "\n",
+    "len(text2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['Ethics',\n",
+       " 'are',\n",
+       " 'built',\n",
+       " 'right',\n",
+       " 'into',\n",
+       " 'the',\n",
+       " 'ideals',\n",
+       " 'and',\n",
+       " 'objectives',\n",
+       " 'of',\n",
+       " 'the',\n",
+       " 'United',\n",
+       " 'Nations',\n",
+       " '']"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "text2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['Ethics',\n",
+       " 'built',\n",
+       " 'right',\n",
+       " 'into',\n",
+       " 'ideals',\n",
+       " 'objectives',\n",
+       " 'United',\n",
+       " 'Nations']"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# List comprehension\n",
+    "[w for w in text2 if len(w) > 3] # Words that are greater than 3 letters long in text2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['Ethics', 'United', 'Nations']"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "[w for w in text2 if w.istitle()] # Capitalized words in text2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['Ethics', 'ideals', 'objectives', 'Nations']"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "[w for w in text2 if w.endswith('s')] # Words in text2 that end in 's'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "6"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# find unique words using set()\n",
+    "text3 = 'To be or not to be'\n",
+    "text4 = text3.split(' ')\n",
+    "\n",
+    "len(text4)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "5"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(set(text4))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'To', 'be', 'not', 'or', 'to'}"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "set(text4)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "4"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(set([w.lower() for w in text4])) # .lower converts the string to lowercase."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'be', 'not', 'or', 'to'}"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "set([w.lower() for w in text4])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['\"Ethics',\n",
+       " 'are',\n",
+       " 'built',\n",
+       " 'right',\n",
+       " 'into',\n",
+       " 'the',\n",
+       " 'ideals',\n",
+       " 'and',\n",
+       " 'objectives',\n",
+       " 'of',\n",
+       " 'the',\n",
+       " 'United',\n",
+       " 'Nations\"',\n",
+       " '#UNSG',\n",
+       " '@',\n",
+       " 'NY',\n",
+       " 'Society',\n",
+       " 'for',\n",
+       " 'Ethical',\n",
+       " 'Culture',\n",
+       " 'bit.ly/2guVelr']"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Processing free-text\n",
+    "text5 = '\"Ethics are built right into the ideals and objectives of the United Nations\" \\\n",
+    "#UNSG @ NY Society for Ethical Culture bit.ly/2guVelr'\n",
+    "text6 = text5.split(' ')\n",
+    "\n",
+    "text6"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['#UNSG']"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# finding hashtags\n",
+    "[w for w in text6 if w.startswith('#')]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['@']"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# finding callouts\n",
+    "[w for w in text6 if w.startswith('@')]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "text7 = '@UN @UN_Women \"Ethics are built right into the ideals and objectives of the United Nations\" \\\n",
+    "#UNSG @ NY Society for Ethical Culture bit.ly/2guVelr'\n",
+    "text8 = text7.split(' ')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['@UN', '@UN_Women']"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import re # import re - a module that provides support for regular expressions\n",
+    "\n",
+    "[w for w in text8 if re.search('@[A-Za-z0-9_]+', w)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}