Fake Reviews Detection Using Machine Learning Model

Reviews on different platforms such as E-Commerce platforms, App Stores, or Online Services are useful for the users as well as the vendors. Reviews help the users in making decisions about buying or using the online service. Similarly, these reviews help the vendors to increase their reputation for the product or service they are providing among the users. But unfortunately, this mechanics of review is misused several times. Both parties try to create fake reviews, to raise popularity or to discredit the product. This research aims to identify fake reviews for a product with the help of text and rating property from a review. In short, we make use of advanced supervised machine learning techniques, natural language processing techniques, and sentiment and opinion mining techniques to identify fake reviews. Using these techniques we identify the truthfulness of a given review by giving good training to the model and using quality training and testing data. The result from this experiment shows that the proposed solution has better accuracy than the previous work.