Aspect-level sentiment analysis: A survey of graph convolutional network methods

HT Phan, NT Nguyen, D Hwang - Information Fusion, 2023 - Elsevier
Aspect-level sentiment analysis (ALSA) is the process of collecting, processing, analyzing,
inferring, and synthesizing subjective sentiments of entities contained in texts at the aspect …

[HTML][HTML] Deep learning for aspect-based sentiment analysis: a review

L Zhu, M Xu, Y Bao, Y Xu, X Kong - PeerJ Computer Science, 2022 - peerj.com
User-generated content on various Internet platforms is growing explosively, and contains
valuable information that helps decision-making. However, extracting this information …

A survey on aspect-based sentiment analysis: Tasks, methods, and challenges

W Zhang, X Li, Y Deng, L Bing… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As an important fine-grained sentiment analysis problem, aspect-based sentiment analysis
(ABSA), aiming to analyze and understand people's opinions at the aspect level, has been …

Graph neural networks for natural language processing: A survey

L Wu, Y Chen, K Shen, X Guo, H Gao… - … and Trends® in …, 2023 - nowpublishers.com
Deep learning has become the dominant approach in addressing various tasks in Natural
Language Processing (NLP). Although text inputs are typically represented as a sequence …

Towards generative aspect-based sentiment analysis

W Zhang, X Li, Y Deng, L Bing… - Proceedings of the 59th …, 2021 - aclanthology.org
Aspect-based sentiment analysis (ABSA) has received increasing attention recently. Most
existing work tackles ABSA in a discriminative manner, designing various task-specific …

Corpus creation for sentiment analysis in code-mixed Tamil-English text

BR Chakravarthi, V Muralidaran… - arXiv preprint arXiv …, 2020 - arxiv.org
Understanding the sentiment of a comment from a video or an image is an essential task in
many applications. Sentiment analysis of a text can be useful for various decision-making …

Discrete opinion tree induction for aspect-based sentiment analysis

C Chen, Z Teng, Z Wang, Y Zhang - … of the 60th Annual Meeting of …, 2022 - aclanthology.org
Dependency trees have been intensively used with graph neural networks for aspect-based
sentiment classification. Though being effective, such methods rely on external dependency …

Learning implicit sentiment in aspect-based sentiment analysis with supervised contrastive pre-training

Z Li, Y Zou, C Zhang, Q Zhang, Z Wei - arXiv preprint arXiv:2111.02194, 2021 - arxiv.org
Aspect-based sentiment analysis aims to identify the sentiment polarity of a specific aspect
in product reviews. We notice that about 30% of reviews do not contain obvious opinion …

Knowledge graph augmented network towards multiview representation learning for aspect-based sentiment analysis

Q Zhong, L Ding, J Liu, B Du, H Jin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Aspect-based sentiment analysis (ABSA) is a fine-grained task of sentiment analysis. To
better comprehend long complicated sentences and obtain accurate aspect-specific …

A sentiment analysis dataset for code-mixed Malayalam-English

BR Chakravarthi, N Jose, S Suryawanshi… - arXiv preprint arXiv …, 2020 - arxiv.org
There is an increasing demand for sentiment analysis of text from social media which are
mostly code-mixed. Systems trained on monolingual data fail for code-mixed data due to the …