Prompted and integrated textual information enhancing aspect-based sentiment analysis-Reference-Cited by-同舟云学术

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Prompted and integrated textual information enhancing aspect-based sentiment analysis

Published:2023-08-23 Issue: Volume: Page:
ISSN:0925-9902
Container-title:Journal of Intelligent Information Systems
language:en
Short-container-title:J Intell Inf Syst

Author:

Shi Xuefeng,Hu Min,Ren Fuji,Shi Piao,Deng Jiawen,Tang Yiming

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s10844-023-00805-0.pdf

Reference54 articles.

1. Afzaal, M., Usman, M., & Fong, A. (2019). Tourism mobile app with aspect-based sentiment classification framework for tourist reviews. IEEE Transactions on Consumer Electronics, 233–242. https://doi.org/10.1109/TCE.2019.2908944

2. Akhtar, M. S., Gupta, D., Ekbal, A., et al. (2017). Feature selection and ensemble construction: A two-step method for aspect based sentiment analysis. Knowledge-Based Systems, 116–135. https://doi.org/10.1016/j.knosys.2017.03.020

3. Atrey, P. K., Hossain, M. A., El Saddik, A., et al. (2010). Multimodal fusion for multimedia analysis: a survey. Multimedia Systems, 345–379. https://doi.org/10.1007/s00530-010-0182-0

4. Bie Y. & Yang Y. (2021). A multitask multiview neural network for end-to-end aspect-based sentiment analysis. Big Data Mining and Analytics, 195–207. https://doi.org/10.26599/BDMA.2021.9020003

5. Cao, Y., Tang, Y., Du, H., et al. (2023). Heterogeneous reinforcement learning network for aspect-based sentiment classification with external knowledge. IEEE Transactions on Affective Computing, 1–14. https://doi.org/10.1109/TAFFC.2022.3233020

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