Document Type : Research Paper

Authors

• Rosul Ibrahim Kazem ¹
• Enas Fadhil Abdullah ²

¹ Department of Computer Science, Collage of Education, University of Kufa, Najaf, Iraq

² Department of Computer Science, Collage of Education for Girls, University of Kufa, Najaf, Iraq

Abstract

Over the last several years, sentiment analysis has emerged as one of the most popular applications of machine learning. It enables the identification of a user's attitude from a remark, document, or review. As a result of the development of Big Data, recommender systems (RS) are also finding more use in many aspects of day-to-day living. There are three basic kinds of RS: collaborative filtering, content-based, and hybrid. This article presents a quick description of the recommender systems supplemented with a sentiment analysis module. Sentiment Analysis systems may help recommender systems improve by assessing Web-based reviews.

Keywords

• recommender systems
• contextual meaning
• sentiment analysis