Landscape view of recommender system techniques based on sentiment analysis

Document Type : Research Paper


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


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.


Volume 14, Issue 1
January 2023
Pages 1539-1546
  • Receive Date: 12 July 2022
  • Revise Date: 20 August 2022
  • Accept Date: 13 October 2022