COMPARATIVE STUDY ON SENTIMENTAL ANALYSIS AND OPINION MINING THROUGH ONLINE CUSTOMER REVIEWS

Abstract

In daily life, consumer opinions are quite important. When we need to make a decision, we consider the opinions of other individuals. On blogs, review websites, and social networking sites nowadays, many internet users express their opinions on a wide range of items. The number of people using the internet to purchase goods is rising, and there are more and more results being stored online as a result. As a consequence, more users are writing reviews or comments every day. Organisations in the business and corporate world are always curious to hear what customers or other people have to say about their products, services, and support.
Today, if someone has to buy something online, they may first read reviews left by previous customers on the product website and then make the best choice possible. Making judgments may be challenging due to the abundance of online comments regarding a certain product. As a result, opinion mining is employed to categorise the evaluations based on their polarity. Opinion mining is the process of obtaining opinions from reviews (OM). Any user making a decision about a service or company should take customer feedback into account. Opinion mining is also known as sentiment analysis. Our major objective is to create a method for studying views, which necessitates evaluating different consumer goods.