01465nas a2200157   4500008004100000245009200041210006900133260001200202300001200214490000700226520095500233100001801188700002501206700002001231856005601251       2019                        eng d00aPrediction of Reviews Rating: A Survey of Methods, Techniques and Hybrid Architectures-0 aPrediction of Reviews Rating A Survey of Methods Techniques and   c06/2019  a164-1780 v173 a<p>&nbsp;In the last recent years, the customer reviews has attracted an increasing interest by researchers and companies thanks to the advancement in E commerce and business applications. The ability to successfully decide whether a review will be helpful to other customers and thus give the product more exposure is vital to companies that support these reviews, companies like Google, Amazon and Yelp! The problem is that some customers are giving rating in conflict with their comments obliging other reviewers to read the comments to understand the reason of this contradiction. Sentiment analysis is the process of automatically identifying opinions expressed in text on certain subjects. The accuracy of sentiment analysis has a direct effect on decision making in both business and government. Also, recommender system is one of the hot topics in the field of big data, especially with the development and growth of the World Wide Web.</p>
1 aHarrag, Fouzi1 aAlsalman, Abdulmalik1 aAlqahtani, Alaa  uhttp://dline.info/fpaper/jdim/v17i3/jdimv17i3_5.pdf