GitHub - snauhaus/Sentiment-Analysis: We do sentiment analysis on the real time data to find interesting patterns and opinion of people on a variety of topics

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Testing		Testing
Twitter sentiment analysis		Twitter sentiment analysis
Word list with sentiment		Word list with sentiment
paulwalker		paulwalker
Classifier.py		Classifier.py
Classifier.pyc		Classifier.pyc
Final_training_set.txt		Final_training_set.txt
RemoveStopWords.py		RemoveStopWords.py
RemoveStopWords.pyc		RemoveStopWords.pyc
Sentiment_Analysis_of_Tweets - backup.py		Sentiment_Analysis_of_Tweets - backup.py
Sentiment_Analysis_of_Tweets.py		Sentiment_Analysis_of_Tweets.py
Tokenisation.py		Tokenisation.py
classified_test_tweets.txt		classified_test_tweets.txt
classified_tweets.txt		classified_tweets.txt
classifier.pkl		classifier.pkl
data.json.bz2		data.json.bz2
lengthned.py		lengthned.py
lengthned.pyc		lengthned.pyc
live_classified_tweets.csv		live_classified_tweets.csv
live_tweets_paulwalker2013-12-01 19-01-15.txt		live_tweets_paulwalker2013-12-01 19-01-15.txt
negative_tweets.csv		negative_tweets.csv
positive_tweets.csv		positive_tweets.csv
process_labelled_tweets.py		process_labelled_tweets.py
processed_negative_tweets.csv		processed_negative_tweets.csv
processed_positive_tweets.csv		processed_positive_tweets.csv
readme		readme
tokenize_continuous_tweets.pyc		tokenize_continuous_tweets.pyc
tweets.py		tweets.py
tweets10k.txt		tweets10k.txt
twitter_sentiment_list.csv		twitter_sentiment_list.csv
word_features.pkl		word_features.pkl

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We use Twitter Streaming API to get real time tweets filtered according to location, hash tags etc.
We apply sentiment analysis on the real time tweets to find interesting patterns.