A Survey of Deep Learning Techniques for Arabic Aspect-Based Sentiment Analysis
As a valuable tool for comprehending the emotions and perspectives of individuals, the significance of sentiment analysis has risen as a result of the growing of user-generated Arabic content online. Aspect-based sentiment analysis (ABSA) has recently gained significant attention and has become one...
Saved in:
Main Authors: | Dalal Alqusair, Mounira Taileb, and Hassanin Al-Barhamtoshy |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10872945/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-Attention Fusion Modeling for Sentiment Analysis of Educational Big Data
by: Guanlin Zhai, et al.
Published: (2020-12-01) -
Task-Oriented Adversarial Attacks for Aspect-Based Sentiment Analysis Models
by: Monserrat Vázquez-Hernández, et al.
Published: (2025-01-01) -
Exploring socioeconomic concerns in Italian social media discourse on migration: A sentiment analysis of X posts
by: Indelicato Alessandro, et al.
Published: (2025-01-01) -
Exploring the Impact of Negative Words Used in Online Feedback in Hotel Industry: A Sentiment Analysis, N-gram, and Text Network Analysis Approach
by: DOI: 10.7172/2449-6634.jmcbem.2023.1.3 Journal of Marketing and Consumer Behaviour in Emerging Markets 1(16)2023 39 (39–50) © 2023 Authors. This is an open access journal distributed under the Creative Commons BY 4.0 license (https://creativecommons.org/licenses/by/4.0/) Exploring the Impact of Negative Words Used in Online Feedback in Hotel Industry: A Sentiment Analysis, N-gram, and Text Network Analysis Approach Daniel Dan
Published: (2023-01-01) -
Aspect category sentiment analysis based on pre-trained BiLSTM and syntax-aware graph attention network
by: Guixian Xu, et al.
Published: (2025-01-01)