Exploring speech clues for Chinese aspect-based sentiment analysis

Haowei LIU , Ye WANG , Xiaotong JIANG , Zhongqing WANG , Guodong ZHOU

Front. Comput. Sci. ›› 2026, Vol. 20 ›› Issue (4) : 2004328

PDF (439KB)
Front. Comput. Sci. ›› 2026, Vol. 20 ›› Issue (4) : 2004328 DOI: 10.1007/s11704-025-50062-3
Artificial Intelligence
LETTER

Exploring speech clues for Chinese aspect-based sentiment analysis

Author information +
History +
PDF (439KB)

Graphical abstract

Cite this article

Download citation ▾
Haowei LIU, Ye WANG, Xiaotong JIANG, Zhongqing WANG, Guodong ZHOU. Exploring speech clues for Chinese aspect-based sentiment analysis. Front. Comput. Sci., 2026, 20(4): 2004328 DOI:10.1007/s11704-025-50062-3

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Li H, Li J, Liu H, Liu T, Chen Q, You X . MelTrans: mel-spectrogram relationship-learning for speech emotion recognition via transformers. Sensors, 2024, 24( 17): 5506

[2]

Raffel C, Shazeer N, Roberts A, Lee K, Narang S, Matena M, Zhou Y, Li W, Liu P J . Exploring the limits of transfer learning with a unified text-to-text transformer. The Journal of Machine Learning Research, 2020, 21( 1): 140

[3]

Baevski A, Zhou H, Mohamed A, Auli M. wav2vec 2.0: a framework for self-supervised learning of speech representations. In: Proceedings of the 34th International Conference on Neural Information Processing Systems. 2020, 12449–12460

[4]

Dosovitskiy A, Beyer L, Kolesnikov A, Weissenborn D, Zhai X, Unterthiner T, Dehghani M, Minderer M, Heigold G, Gelly S, Uszkoreit J, Houlsby N. An image is worth 16x16 words: transformers for image recognition at scale. 2020, arXiv preprint arXiv:2010.11929

[5]

Cai H, Xia R, Yu J. Aspect-category-opinion-sentiment quadruple extraction with implicit aspects and opinions. In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing. 2021, 340–350

[6]

Zhang W, Li X, Deng Y, Bing L, Lam W. Towards generative aspect-based sentiment analysis. In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing. 2021, 504–510

[7]

Mao Y, Shen Y, Yang J, Zhu X, Cai L. Seq2Path: generating sentiment tuples as paths of a tree. In: Proceedings of Findings of the Association for Computational Linguistics. 2022, 2215–2225

[8]

Bao X, Wang Z, Jiang X, Xiao R, Li S. Aspect-based sentiment analysis with opinion tree generation. In: Proceedings of the 31st International Joint Conference on Artificial Intelligence. 2022, 4044–4050

[9]

Hu M, Bai Y, Wu Y, Zhang Z, Zhang L, Gao H, Zhao S, Huang M. Uncertainty-aware unlikelihood learning improves generative aspect sentiment quad prediction. In: Proceedings of Findings of the Association for Computational Linguistics. 2023, 13481–13494

[10]

Cui Y, Yang Z, Yao X. Efficient and effective text encoding for Chinese LLaMa and alpaca. 2023, arXiv preprint arXiv: 2304.08177

[11]

Li J, Li D, Savarese S, Hoi S. BLIP-2: bootstrapping language-image pre-training with frozen image encoders and large language models. In: Proceedings of the 40th International Conference on Machine Learning. 2023, 19730–19742

[12]

Zhang P, Dong X, Wang B, Cao Y, Xu C, Ouyang L, Zhao Z, Duan H, Zhang S, Ding S, Zhang W, Yan H, Zhang X, Li W, Li J, Chen K, He C, Zhang X, Qiao Y, Lin D, Wang J. InternLM-Xcomposer: A vision-language large model for advanced text-image comprehension and composition. 2023, arXiv preprint arXiv: 2309.15112

[13]

Sui D, Tian Z, Chen Y, Liu K, Zhao J. A large-scale Chinese multimodal NER dataset with speech clues. In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing. 2021, 2807–2818

RIGHTS & PERMISSIONS

Higher Education Press

AI Summary AI Mindmap
PDF (439KB)

Supplementary files

Highlights

253

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/