Social champion identification

Identifying a social champion using the concepts of natural language processing

Create a new conda environment and activate it

conda create --name sci
activate sci

Install dependencies

$ pip install -r requirements.txt
$ python -m spacy download en
$ python -m nltk.downloader stopwords

First start your elasticsearch server

$ python api.py

Name		Name	Last commit message	Last commit date
Latest commit History 156 Commits
articles		articles
classes		classes
playground		playground
static		static
templates		templates
.gitignore		.gitignore
Instances.py		Instances.py
Pipfile		Pipfile
Pipfile.lock		Pipfile.lock
README.md		README.md
TwitterGraph.pyc		TwitterGraph.pyc
api.py		api.py
basicRanking.py		basicRanking.py
config.json		config.json
configImports.py		configImports.py
fbDatafetch.py		fbDatafetch.py
fetch_articles.py		fetch_articles.py
handles.csv		handles.csv
ldamodel.pickle		ldamodel.pickle
lsimodel.pickle		lsimodel.pickle
main.py		main.py
main_train.py		main_train.py
main_twitter.py		main_twitter.py
mongo.py		mongo.py
output.json		output.json
ranking.py		ranking.py
requirements.txt		requirements.txt
result.json		result.json
test.py		test.py
text_cleansing_step1.py		text_cleansing_step1.py
todo.txt		todo.txt
topic_modeling.py		topic_modeling.py
twitter.py		twitter.py
twitterDatafetch.py		twitterDatafetch.py
twitterGraph.pickle		twitterGraph.pickle

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