Twitter sentiment analysis is a popular use case for Natural Language Processing (NLP) and Machine Learning.
In social networks, twitter for example, is the ideal place for anyone to post their ideas and thoughts, but to avoid the spread of hateful tweets ,it is necessary to have an automated system capable of detecting the nature of the feelings behind a text. Given a collection of tweets, the system should accurately classify each tweet into one of three sentiment categories: positive, negative, or neutral associated with a particular tweet, enabling deeper insights into public opinion, customer feedback, brand perception, and market trends.