Skip to content

Latest commit

 

History

History
7 lines (5 loc) · 369 Bytes

README.md

File metadata and controls

7 lines (5 loc) · 369 Bytes

Natural Language Processing - Python

Categorises tweets according to their polarity level.

It helps categorize the tweets fetched from Twitter marking them as positive or negative. Sentiment analysis is used to make program identify the words and decide their polarity. It can be used to analyze a large number of tweets together and get knowledgeable insights.