A Comprehensive Overview of Recommender System and Sentiment Analysis

Understand

Recommender system has been proven to be significantly crucial in many fields and is widely used by various domains.

• Most of the conventional recommender systems rely on the numeric rating given by a user to reflect his opinion about a consumed item; however, these ratings are not available in many domains.
• As a result, a new source of information represented by the user-generated reviews is incorporated in the recommendation process to compensate for the lack of these ratings.
• The reviews contain prosperous and numerous information related to the whole item or a specific feature that can be extracted using the sentiment analysis field.