An improved aspect-category sentiment analysis model for text sentiment analysis based on RoBERTa-Reference-Cited by-同舟云学术

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An improved aspect-category sentiment analysis model for text sentiment analysis based on RoBERTa

Published:2020-11-15 Issue:6 Volume:51 Page:3522-3533
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Liao Wenxiong,Zeng Bi,Yin Xiuwen^ORCID,Wei Pengfei

Funder

Innovative Research Group Project of the National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Science and Technology Planning Project of Guangdong Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-020-01964-1.pdf

Reference46 articles.

1. Xu N, Mao W, Chen G (2018) A co-memory network for multimodal sentiment analysis. In: The 41st international ACM SIGIR conference on research & development in information retrieval, pp 929–932

2. Hussein D M E D M (2018) A survey on sentiment analysis challenges. J King Saud Univ-Eng Sci 30(4):330–338

3. Pang B, Lee L (2008) Opinion mining and sentiment analysis. Found Trends Inf Retr 2 (1):1–135

4. Xue W, Li T (2018) Aspect based sentiment analysis with gated convolutional networks. In: Proceedings of the 56th annual meeting of the association for computational linguistics (volume 1: long papers). Association for Computational Linguistics, Melbourne, pp 2514–2523

5. Sailunaz K, Alhajj R (2019) Emotion and sentiment analysis from twitter text. J Comput Sci 36:101003

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