Sentiment Based Rating Prediction through Textual Reviews

Authors

  • V. Anantha Lakshmi, Y. Rama Mohan, Nayeemuddin.M, T. Bramahanada Reddy, C. Harinatha Reddy

Abstract

Now a days, the Social Media has become very popular to share the users viewpoints to their friends by using various social networking platforms. It makes obligatory for the users to post their reviews for other users to know about the quality of the products. In this paper, information overloading problem are discussed. So, a Sentiment-based rating prediction method is proposed to improve the prediction accuracy in the traditional recommender systems. User trusted friend, Item reputation and User Sentiment similarity factors are introduced. In this, the three factors are fused into the recommender systems to make accurate rating prediction. The performance evaluation of three sentimental factors on the user datasets, product datasets are considered. As the result, it helps to improve the recommendation performance.

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Published

2020-05-18

Issue

Section

Articles