Publication

Abstract : Internet has turned into an online learning network and a platform to exchange ideas and reviews. Social networking sites are quickly gaining popularity as it allows users to have a discussion, share, and express their views on subjects across the globe. It is generally known that social media and social networks are the best tools to collect knowledge about the viewpoint and the thoughts of people on entirely different subjects as they pay a considerable amount of time on social media networks to express opinions and interests. The proposed model detects the sentiments of tweets and using Twitter sentiment, and this research work has also attempted to perform classification on different models using TF-IDF vectorization. Python3 and its libraries are used for implementation.