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Sentiment-Analysis

Sentiment Analysis on reviews with the help of Python NLP library - TextBlob and using Flask based WebApp.


animation


TextBlob’s output for a Polarity task is a float within the range [-1.0, 1.0] where -1.0 is a negative polarity and 1.0 is positive. This score can also be equal to 0, which stands for a neutral evaluation of a statement as it doesn’t contain any words from the training set.

Whereas, a Subjectivity identification task reports a float within the range [0.0, 1.0] where 0.0 is a very objective sentence and 1.0 is very subjective.

Running

Install necessary python libraries as per requirements.txt file

python app.py

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