Attention-based LSTM for Aspect-level Sentiment Classification

Yequan Wang, Minlie Huang, Xiaoyan Zhu, Li Zhao


Anthology ID:
D16-1058
Volume:
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
Month:
November
Year:
2016
Address:
Austin, Texas
Editors:
Jian Su, Kevin Duh, Xavier Carreras
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
606–615
Language:
URL:
https://aclanthology.org/D16-1058
DOI:
10.18653/v1/D16-1058
Bibkey:
Cite (ACL):
Yequan Wang, Minlie Huang, Xiaoyan Zhu, and Li Zhao. 2016. Attention-based LSTM for Aspect-level Sentiment Classification. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 606–615, Austin, Texas. Association for Computational Linguistics.
Cite (Informal):
Attention-based LSTM for Aspect-level Sentiment Classification (Wang et al., EMNLP 2016)
Copy Citation:
PDF:
https://aclanthology.org/D16-1058.pdf
Code
 additional community code
Data
SemEval-2014 Task-4