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Reviews Sentiment analysis for collaborative recommender system.

Reviews Sentiment analysis for collaborative recommender system.

Authors :
Abdul Hassan, Alia Karim
aldeen abdulwahhab, Ahmed Bahaa
Source :
Kurdistan Journal of Applied Research (KJAR); Aug2017, Vol. 2 Issue 3, p87-91, 5p
Publication Year :
2017

Abstract

recommender system nowadays is used to deliver services and information to users. A recommender system is suffering from problems of data sparsity and cold start because of insufficient user rating or absence of data about users or items. This research proposed a sentiment analysis system work on user reviews as an additional source of information to tackle data sparsity problems. Sentiment analysis system implemented using NLP techniques with machine learning to predict user rating form his review; this model is evaluated using Yelp restaurant data set, IMDB reviews data set and Arabic qaym.com restaurant reviews data set under various classification model, the system was efficient in predicting rating from reviews. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
24117684
Volume :
2
Issue :
3
Database :
Complementary Index
Journal :
Kurdistan Journal of Applied Research (KJAR)
Publication Type :
Academic Journal
Accession number :
126826695
Full Text :
https://doi.org/10.24017/science.2017.3.22