Sentiment Analysis of College Reviews using Machine Learning
Toshita Chandurkar · International Journal for Research in Applied Science and Engineering Technology · 2021
Sentiment analysis is the process of detecting positive or negative or neutral 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 focused on polarity (positive, negative and neutral) and even intentions (interested or not interested). Depending on how we wish want to interpret feedback and queries, we will define and tailor your categories to meet your sentiment analysis needs. This paper focuses the reviews of various colleges which are an important form of opinion mining. The essential objective of this paper is to classify every sentence’s semantic orientation (e.g. positive, negative and neutral) of the reviews. It is a very useful analysis since we could possibly determine opinion about various colleges