Improving sentiment analysis in Arabic: A combined approach
Sentiment analysis SA is concerned with determining users’ opinions from text reviews. However, mining these opinions from massive amounts of unstructured and lengthy documents is a challenging task. In this paper, we propose methods that extract valuable opinions and values from online movie review...
Saved in:
| Main Authors: | Belgacem Brahimi, Mohamed Touahria, Abdelkamel Tari |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2021-12-01
|
| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157819303283 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Opinion Mining in Latvian Text Using Semantic Polarity Analysis and Machine Learning Approach
by: Gatis Špats, et al.
Published: (2016-07-01) -
Correlations and Fractality in Sentence-Level Sentiment Analysis Based on VADER for Literary Texts
by: Ricardo Hernández-Pérez, et al.
Published: (2024-11-01) -
The wisdom of the lexicon crowds: leveraging on decades of lexicon-based sentiment analysis for improved results
by: Chelsey H. Hill, et al.
Published: (2025-05-01) -
An Analysis of Sentiment: Methods, Applications, and Challenges
by: Harish Dutt Sharma, et al.
Published: (2023-12-01) -
A Survey of Deep Learning Techniques for Arabic Aspect-Based Sentiment Analysis
by: Dalal Alqusair, et al.
Published: (2025-01-01)