/Twitter-Sentiment-Analysis

Twiiter Sentiment Analysis on a current topic/discussion.

Primary LanguagePython

This is a college project.

Twitter-Sentiment-Analysis

Basically, this project finds the polarity of the comments comparing their sentiment score that are being passed by any user on certain keyword like 'budget2019', 'Avengers'. Here, polarity refers sense of the user, the comment would be in positive, negative and neutral sense.

Using python libraries:

We make use of the python libraries like tweepy, textblob for the sentiment analysis

tweepy:

      An easy-to-use Python library for accessing the Twitter API.

textblob:

      TextBlob is a Python (2 and 3) library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more. 
     For more details  https://textblob.readthedocs.io/en/dev/