Integrating Yelp Dataset in building our Neighbourhood guides
##Instructions Run requirements.txt to install all dependencies
##Activities in a Neighborhood
###src/Activities/Count_Categories.py Gives business categories of all the neighborhood using Yelp data
###src/Activities/get_verb_noun.py Create noun verb pairs for reviews
###src/Activities/CountNounVerbPair.py Gives you the top 40 activities for a place using the file generated in Activities/get_verb_noun.py
###src/Activities/extract_reviews.py Extract all the review to create corpus for word2vec model
##Sense2vec src/Sense2vec/bin/pos_tagging.py This script pre-processes text and pos tags data using spaCy, so that the sense2vec model can be trained using Gensim.
###src/Sense2vec/bin/train_word2vec.py This script reads a directory of text files, and then trains a word2vec model using Gensim. The script includes its own vocabulary counting code, because Gensim's vocabulary count is a bit slow for our large, sparse vocabulary.
###src/Sense2vec/bin/gensim2sense.py This script converts the gensim model to a vector store for efficient querying
###src/Sense2vec/bin/similar.py to get similar words based on a word using our model