##python dependencies-
you can install following dependencies using pip install <package-name>
1-nltk
2-sklearn
3-cPickle
4-numpy
5-pandas
##trainSentiment.py - this file is used for training models for sentiment analysis
We have used Naive Bayes and SVM for training and saved best model in pkl folder
##predictSentiment.py - this file is used for predicting sentiment from input file in Twitter Data folder change inputDirName and outputDirName in this file to get prediction from different folder
##sentimentUtils.py and commonUtils.py - this file is used for utility functions
##pkl - this folder contains python serailized objects used for training
##lexicon.txt - this file contains positive and negative words
##stopwords - this file has list of all stop words
##positive-data.csv negative-data.csv - this file contains positive and negative labeled data used for training
