Design and Implementation of Aspect-Based Sentiment Analysis Task
This paper presents the design and implementation of a deep-learning-based aspect-level sentiment analysis model for the aspect term extraction and sentiment polarity classification of Chinese text comments. The model utilizes two layers of BERT models and fully connected neural networks for feature...
Saved in:
| Main Author: | Ningyi Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-08-01
|
| Series: | Computer Sciences & Mathematics Forum |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2813-0324/8/1/56 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Exploring BERT for Aspect-based Sentiment Analysis in Portuguese Language
by: Émerson Philippe Lopes, et al.
Published: (2022-05-01) -
TASCI: transformers for aspect-based sentiment analysis with contextual intent integration
by: Hassan Nazeer Chaudhry, et al.
Published: (2025-05-01) -
Comparison of Deep Learning Sentiment Analysis Methods, Including LSTM and Machine Learning
by: Jean Max T. Habib, et al.
Published: (2023-11-01) -
Cross-lingual transfer of sentiment classifiers
by: Marko Robnik-Šikonja, et al.
Published: (2021-07-01) -
Task-Oriented Adversarial Attacks for Aspect-Based Sentiment Analysis Models
by: Monserrat Vázquez-Hernández, et al.
Published: (2025-01-01)