Abstract
Nowadays, as we know the Internet is overgrowing thus the textual information is also rising very fast. In the few recent years, Sentiment Analysis has attracted increasing interest. Sentiment analysis (also known as opinion mining) is the process of determining the attitude of textual opinions whether they are positive, negative or neutral. In addition, 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. This research aims to combine these two fields, by developing a solution that can predict rating of products that consider the sentiment of these products reviews. This research focuses mainly on Arabic reviews, where Arabic sentiment analysis has just flourished, and there are several problems and gaps not solved yet.