Triple-channel graph attention network for improving aspect-level sentiment analysis

Author:

Zhu Chao,Yi Benshun,Luo Laigan

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference39 articles.

1. Jiang L, Yu M, Zhou M, Liu X, Zhao T (2011) Target-dependent twitter sentiment classification. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp 151–160

2. Weichselbraun A, Gindl S, Scharl A (2013) Extracting and grounding contextualized sentiment lexicons. IEEE Intell Syst 28(2):39–46

3. Ding X, Liu B, Yu PS (2008) A holistic lexicon-based approach to opinion mining. In: Proceedings of the 2008 International Conference on Web Search and Data Mining, pp 231–240

4. Gu S, Zhang L, Hou Y, Song Y (2018) A position-aware bidirectional attention network for aspect-level sentiment analysis. In: Proceedings of the 27th International Conference on Computational Linguistics, pp 774–784

5. Fan F, Feng Y, Zhao D (2018) Multi-grained attention network for aspect-level sentiment classification. In: Proceedings of the 2018 Conference on Empirical Methods In Natural Language Processing, pp 3433–3442

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