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Sentiment Analysis is a technique used in text mining. Twitter Sentiment Analysis may, therefore, be described as a text mining technique for analyzing the underlying sentiment of a text message, i.e., a tweet. Twitter sentiment or opinion expressed through it may be positive, negative or neutral.

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TwitterSentimentalAnalysis

Sentiment Analysis is a technique used in text mining. Twitter Sentiment Analysis may, therefore, be described as a text mining technique for analyzing the underlying sentiment of a text message, i.e., a tweet. Twitter sentiment or opinion expressed through it may be positive, negative or neutral.

##DEPENDENCIES

tweepy(http://www.tweepy.org/)

textblob(https://textblob.readthedocs.io/en/dev/#)

####### Steps #######

1.Go to Administrative Command Prompt and install Tweepy: pip install tweepy

2.Next Install textblob: pip install textblob

3.Then Run main.py on command Prompt: python main.py

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Sentiment Analysis is a technique used in text mining. Twitter Sentiment Analysis may, therefore, be described as a text mining technique for analyzing the underlying sentiment of a text message, i.e., a tweet. Twitter sentiment or opinion expressed through it may be positive, negative or neutral.

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