@article {804,
	title = {Prediction of Reviews Rating: A Survey of Methods, Techniques and Hybrid Architectures-},
	journal = {Journal of Digital Information Management},
	volume = {17},
	year = {2019},
	month = {06/2019},
	pages = {164-178},
	type = {Research},
	chapter = {164},
	abstract = {<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>
},
	doi = {https://doi.org/10.6025/jdim/2019/17/3/164-178},
	url = {http://dline.info/fpaper/jdim/v17i3/jdimv17i3_5.pdf},
	author = {Fouzi Harrag and Abdulmalik Alsalman and Alaa Alqahtani}
}
