TweetSense

Sentiment analysis of specific topic based real time feeds from Twitter using Streaming API, including a number of operations on them such as displaying percentage of positive and negative tweets, visualizing tweets based on different geographic locations, using Machine Learning techniques for sentiment analysis. Used Python and Twitter Streaming API for the project based on Introduction to Data Science assignment from University of Washington offered on Coursera.

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
.gitattributes		.gitattributes
.gitignore		.gitignore
AFINN-111.txt		AFINN-111.txt
AFINN-README.txt		AFINN-README.txt
Program Details.pdf		Program Details.pdf
README.html		README.html
README.md		README.md
frequency.py		frequency.py
happiest_state.py		happiest_state.py
happiest_state_v2.py		happiest_state_v2.py
noutput.txt		noutput.txt
ntop_ten.py		ntop_ten.py
output.json		output.json
output.txt		output.txt
print.py		print.py
problem5.json		problem5.json
realplace.json		realplace.json
term_sentiment.py		term_sentiment.py
top_ten.py		top_ten.py
tweet_sentiment.py		tweet_sentiment.py
twitterstream.py		twitterstream.py

dipanjanS/TweetSense

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