Prediction Using Sentiment Analysis on Multi-domain Category: Stocks and Politics Using Twitter Repository

Twitter is a microblogging website and a large public database of various people, products, services, and businesses. The process of analyzing one’s reputation in the public eye is called sentiment analysis. The system should be able to analyze the text, including any special characters like emojis, abbreviations, etc., and classify the user’s opinion as negative, positive, or neutral. It should also present visual statistical analysis (graph) for predicting the likely outcome of the event, given the various opinions of individual users on a particular topic (political affairs, stock prices, etc.). This page focuses on various methods used to analyze product reviews, political pundits, and the general public (who can use the tweet format) to determine whether there are many positive, negative, and neutral opinions that help in product, economy, political results, current events, etc.