Sentiment Analysis On Product Review: A Survey

Abstract

Online reviews are considered as one of the most essential sources of client opinion. In current scenario, consumers can learn about the products and services using online review resources to make decisions. The customer reviews for numerous products plays a very vital role not only for purchasers, But also for the firms. Consumer reviews are used by companies as feedback in their product development strategies and in the management of consumer relations. Due to their disorganized nature, consumer reviews with valuable information still face difficulties in navigating information. Driven by a need for profit, some organizations may generate spam reviews regarding different products or their own product which may mislead customers to buying unworthy product. Because of its promising commercial benefits, Sentiment Analysis has become one of the most interesting subjects in text analysis. One of its main problem is the detection of false negate reviews. In addition, the user reviews can be classified as positive or negative reviews so that a consumer can use the false review to select a product. In this paper, we examine various levels of Sentiment Analysis and compare different existing techniques.