Twitter Sentiment Analysis Tool

A Sentiment Analysis for Twitter Data.

##Working:

• model.en is generated using word2vec using make_word2vec_model.py
• vectorize using vectorize.py
• generate random_for_predictor.pickle using train_and_validate.py
• Run: python get_sentiment_word.py

##(For Detailed)

• Install the "sentimentAnalysis" in your local web2py at "127.0.0.1:8000"

##Support:

• WebPage at http://akirato.github.io/Twitter-Sentiment-Analysis-Tool/
• Video with Demo and Accuracies: https://youtu.be/VuR16P87yPE
• Presentation for this: http://www.slideshare.net/NurendraChoudhary1/sentiment-analysis-of-twitter-data-60761723
• Report is present in the file "Report.pdf"
• For any doubts, Raise an Issue and we will sort it out.