Recommender System for Arabic Content Using Sentiment Analysis of User Reviews
Recommender systems are used as effective information-filtering techniques to automatically predict and identify sets of interesting items for users based on their preferences. Recently, there have been increasing efforts to use sentiment analysis of user reviews to improve the recommendations of re...
Main Authors: | Amani Al-Ajlan, Nada Alshareef |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/12/13/2785 |
Similar Items
-
Reviews Sentiment analysis for collaborative recommender system
by: Alia Karim Abdul Hassan, et al.
Published: (2017-08-01) -
Combining Sentiment Analysis With a Fuzzy Kano Model for Product Aspect Preference Recommendation
by: Jinming Zhang, et al.
Published: (2018-01-01) -
Enhancing Recommender System with Collaborative Filtering and User Experiences Filtering
by: Silvana Vanesa Aciar, et al.
Published: (2021-12-01) -
AspectSA: Unsupervised system for aspect based sentiment analysis in Spanish
by: Carlos Henriquez Miranda, et al.
Published: (2019-04-01) -
From Twitter to Aso-Rock: A sentiment analysis framework for understanding Nigeria 2023 presidential election
by: Olusola Olabanjo, et al.
Published: (2023-05-01)