ECNU: A Combination Method and Multiple Features for Aspect Extraction and Sentiment Polarity Classification

Fangxi Zhang, Zhihua Zhang, Man Lan


Anthology ID:
S14-2041
Volume:
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)
Month:
August
Year:
2014
Address:
Dublin, Ireland
Editors:
Preslav Nakov, Torsten Zesch
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
252–258
Language:
URL:
https://aclanthology.org/S14-2041
DOI:
10.3115/v1/S14-2041
Bibkey:
Cite (ACL):
Fangxi Zhang, Zhihua Zhang, and Man Lan. 2014. ECNU: A Combination Method and Multiple Features for Aspect Extraction and Sentiment Polarity Classification. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pages 252–258, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
ECNU: A Combination Method and Multiple Features for Aspect Extraction and Sentiment Polarity Classification (Zhang et al., SemEval 2014)
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PDF:
https://aclanthology.org/S14-2041.pdf