A Survey on Sentiment Analysis of (Product) Reviews

Abstract

With the help of wireless technology, the internet becomes a valuable place for online learning, exchanging ideas, reviews for a product or service. Reviews in the internet could be in millions for a product or services which make it difficult to track and understand customer opinions. Sentiment analysis is an emerging area of research to extract the subjective information in source materials by applying Natural Language processing, Computational Linguistics and text analytics and classify the polarity of the opinion stated. This paper provides an overall survey about sentiment analysis or opinion mining related to product reviews.