Call of Papers for Current Volume ********************OnLine Paper Submission for Current Volume

Volume & Issue no: Volume 6, Issue 4, July - August 2017

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Title:
SENTIMENT BASED RATING PREDICTION THROUGH TEXTUAL REVIEWS
Author Name:
B.K.Shireesha, S.Zahoor-Ul-Huq
Abstract:
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. Keywords: Sentiment analysis, User sentiment reviews, Recommender systems, Item reputation, Rating Prediction.
Cite this article:
B.K.Shireesha, S.Zahoor-Ul-Huq , " SENTIMENT BASED RATING PREDICTION THROUGH TEXTUAL REVIEWS" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 6, Issue 4, July - August 2017 , pp. 239-242 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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