Exploring aspect-based sentiment analysis: an in-depth review of current methods and prospects for advancement

Kandhro, Irfan Ali; Ali, Fayyaz; Uddin, Mueen; Kehar, Asadullah; Manickam, Selvakumar

doi:10.1007/s10115-024-02104-8

Knowl Inf Syst

2024

DOI: 10.1007/s10115-024-02104-8

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Exploring aspect-based sentiment analysis: an in-depth review of current methods and prospects for advancement

Irfan Ali Kandhro,

Fayyaz Ali,

Mueen Uddin

et al.

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Cited by 3 publications

References 113 publications

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Dual edge-embedding graph convolutional network for unified aspect-based sentiment analysis

Wu,

Xiong,

Gao

et al. 2025

Information Sciences

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Dual edge-embedding graph convolutional network for unified aspect-based sentiment analysis

Wu,

Xiong,

Gao

et al. 2025

Information Sciences

View full text Add to dashboard Cite

Alignment-Based Pseudo-Label Generation With Collaborative Filtering Mechanism for Enhanced Cross-Domain Aspect-Based Sentiment Analysis

Xu,

Ibrahim

2024

IEEE Access

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Research on aspect-based sentiment analysis of movie reviews based on deep learning

Mao,

Fan,

Tong

2024

Journal of Information Science

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Aspect-based sentiment analysis aims to extract the sentiment polarity of different aspects within a text. In recent years, most methods have relied on pre-trained language models such as BERT and Roberta to learn semantic representations from the context. However, in texts with ambiguous sentiment expression, the absence of domain knowledge guidance may lead pre-trained language models to miss critical information, and the attention mechanism might incorrectly focus on text that is irrelevant to the aspect categories. To address these issues, this study integrates the ontology of movie reviews to construct an aspect-based sentiment analysis model based on the ERNIE(OMR-EBA). We annotated a new Chinese data set focused on movie reviews to evaluate the model’s performance. Experimental results show that our model achieves 86% accuracy in aspectual sentiment analysis, which is better than other baseline models. The movie review domain ontology and aspect-based sentiment analysis model proposed in this study can provide valuable reference and guidance for research in the field of online movie reviews. It can also help movie production teams understand genuine user sentiments, aiding in subsequent marketing and production efforts.

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Exploring aspect-based sentiment analysis: an in-depth review of current methods and prospects for advancement

Cited by 3 publications

References 113 publications

Dual edge-embedding graph convolutional network for unified aspect-based sentiment analysis

Dual edge-embedding graph convolutional network for unified aspect-based sentiment analysis

Alignment-Based Pseudo-Label Generation With Collaborative Filtering Mechanism for Enhanced Cross-Domain Aspect-Based Sentiment Analysis

Research on aspect-based sentiment analysis of movie reviews based on deep learning

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