Twitter Sentiment Analysis

Twitter Sentiment Analysis is a MACHINE LEARNING based application , it is developed from PYTHON , ML(MACHINE LEARNING) AND NLP (NATURAL LANGUAGE PROCESSING) ALGORITHMS .

Sentiment Analysis- is the process of ‘computationally’ determining whether a piece of writing is positive, negative or neutral. It’s also known as opinion mining, deriving the opinion or attitude of a speaker.

Not only determining twitter statements , but also we can also check for any statement .
End of the collab file contains a "STREAM LIT" application , after running the entire code . Code of stream lit generates a new link every time we execute it , then new page opens and we can paste the required "STATEMENTS" and check whether it is positive , negative or neutral .