Sentiment Analysis : A Review and Comparative Analysis on Colleges
Sentiment analysis is the process of detecting positive and negative sentiment in text. It’s often used by businesses to detect sentiment in social data, gauge brand reputation, to understand it and make better. Sentiment analysis models focus on polarity (positive, negative and neutral) and even intentions (interested v. not interested). Depending on how you want to interpret feedback and queries, you can define and tailor your categories to meet your sentiment analysis needs. This paper focuses the reviews of college which are an important form of opinion contents. The basic objective of this work is to classify every sentence’s semantic orientation (e.g. positive, negative and neutral) of the reviews. It is a really useful analysis since we could possibly determine the overall opinion about the colleges.