Sentiment Analysis using Opinion Mining

Abstract

Sentiment analysis refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. The idea of this paper is to "process a set of user reviews for a given product, generating a summarization (quality, features) and aggregating of user opinion". The existing systems have greater emphasis on the product in particular rather than what the user is saying about it. Our research aims to shift focus on the user's opinion after semantically analyzing and mining the data to find the hidden sentiment it.