Extracting Explicit and Implicit Aspects Using Deep Learning
The proliferation of user-generated content on social networks and websites has heightened the significance of sentiment analysis, also known as opinion mining, as a critical tool for comprehending people’s attitudes toward various topics. Aspect-level sentiment analysis, which considers specific as...
Main Authors: | Mikail Muhammad Azman Busst, Kalaiarasi Sonai Muthu Anbananthen, Subarmaniam Kannan, Rajkumar Kannan |
---|---|
Format: | Article |
Language: | English |
Published: |
Ital Publication
2024-02-01
|
Series: | Emerging Science Journal |
Subjects: | |
Online Access: | https://www.ijournalse.org/index.php/ESJ/article/view/2054 |
Similar Items
-
Ensemble BiLSTM: A Novel Approach for Aspect Extraction From Online Text
by: Mikail Muhammad Azman Busst, et al.
Published: (2024-01-01) -
A Systematic Review on Implicit and Explicit Aspect Extraction in Sentiment Analysis
by: Jaafar Zubairu Maitama, et al.
Published: (2020-01-01) -
A Survey on Implicit Aspect Detection for Sentiment Analysis: Terminology, Issues, and Scope
by: Piyush Kumar Soni, et al.
Published: (2022-01-01) -
A Systematic Mapping Study of the Empirical Explicit Aspect Extractions in Sentiment Analysis
by: Jaafar Zubairu Maitama, et al.
Published: (2020-01-01) -
Weakly Supervised Learning Approach for Implicit Aspect Extraction
by: Aye Aye Mar, et al.
Published: (2023-11-01)