ECNU: Extracting Effective Features from Multiple Sequential Sentences for Target-dependent Sentiment Analysis in Reviews

Zhihua Zhang, Man Lan


Anthology ID:
S15-2125
Volume:
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)
Month:
June
Year:
2015
Address:
Denver, Colorado
Venue:
SemEval
SIGs:
SIGSEM | SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
736–741
Language:
URL:
https://aclanthology.org/S15-2125
DOI:
10.18653/v1/S15-2125
Bibkey:
Cite (ACL):
Zhihua Zhang and Man Lan. 2015. ECNU: Extracting Effective Features from Multiple Sequential Sentences for Target-dependent Sentiment Analysis in Reviews. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 736–741, Denver, Colorado. Association for Computational Linguistics.
Cite (Informal):
ECNU: Extracting Effective Features from Multiple Sequential Sentences for Target-dependent Sentiment Analysis in Reviews (Zhang & Lan, SemEval 2015)
Copy Citation:
PDF:
https://aclanthology.org/S15-2125.pdf