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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