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Sentiment classification of live tweets into positive, negative and neutral polarity.

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Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
README.md		README.md
Results:Donald Trump		Results:Donald Trump
Results:Facebook		Results:Facebook
Results:Kerala Floods		Results:Kerala Floods
Results:Kofi Annan		Results:Kofi Annan
Results:United States of America		Results:United States of America
sentiment.py		sentiment.py

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twitter-sentiment-analysis

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Sentiment classification of live tweets into positive, negative and neutral polarity.

twitter tweets sentiment-analysis scrapping sentiment-polarity sentiment-classifier textblob

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Python 100.0%