ProRat: Product Rating Prediction Model based on Online Product Reviews

Today, a greater amount of products/services reviews available on the Internet, e.g., blogs, review forum, discussion groups, etc. However, it is almost impossible for a user to read all of the different and possibly even contradictory opinions and make an informed decision. Generally, reviewers write the reviews related to the aspects of the product in the form of text and give the rating to the product. But some of the reviewers are biased while giving the rating to the product and while writing the review, they used to write genuine re-views, at least up to some extent, related to the aspects of the products. Moreover, there are also spammers who are paid to give the fake rating to the product. So, to overcome the challenges of direct rating of the product, instead, the rating of the product can be projected with the help of the aspects reviews of the product. Till now, there is no significant work on product rating based on the aspects reviews.Our proposed system works for the above-mentioned problem. The proposed system works in three phase, firstly; it identifies aspects and predicts the aspects rating, secondly; aspects along with their rating are classified/clustered and finally; based on aspect rating, product rating is calculated. Our work diminishes the effect of spam review or biased review. To the best of author’s knowledge, it is virtually first of its kind, related to product/aspect rating based on their aspect reviews.