Twitter Sentiment Analysis with the help of Twitter API & TextBlob library in python
Used by companies and organizations to figure out the perceptions and consumer behavior towards them or their products on social media. Through the medium of social media sentiments analysis , it becomes easier for them to make predictions .as shifts in the sentiments on social media correlate to shifts in the stock market. There have been several insights of predicting some event before happening just by analyzing the buzz it creates on the social media. So basically we can easily get a wider public opinion without actually creating physical surveys.
~Twitter API
~REGEX module
~Tweepy module
~TextBlob module
~Numpy, Pandas and Matplotlib modules also
-uploading the procedure shortly