As the technology changes for publicity, way to traditional marketing also changes as person-to-person communication to online reviews. As feedback these online reviews are important so customer and to companies or vendors. These reviews are helpful for making decisions regarding quality of products and services. This concepts, changes the face of advertising to conventional, individual-to individual correspondence to online audits. These online audits are important to client and to organizations or sellers. In this paper we proposed the method to recognizing the untruthful reviews that are given by the users which is having distinct semantic content based on sentiment analysis as the reviews of movies.
Opinion, Review, Sentiment, Fake.