ECNU: Expression- and Message-level Sentiment Orientation Classification in Twitter Using Multiple Effective Features

Jiang Zhao, Man Lan, Tiantian Zhu


Anthology ID:
S14-2042
Volume:
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)
Month:
August
Year:
2014
Address:
Dublin, Ireland
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
259–264
Language:
URL:
https://aclanthology.org/S14-2042
DOI:
10.3115/v1/S14-2042
Bibkey:
Cite (ACL):
Jiang Zhao, Man Lan, and Tiantian Zhu. 2014. ECNU: Expression- and Message-level Sentiment Orientation Classification in Twitter Using Multiple Effective Features. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pages 259–264, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
ECNU: Expression- and Message-level Sentiment Orientation Classification in Twitter Using Multiple Effective Features (Zhao et al., SemEval 2014)
Copy Citation:
PDF:
https://aclanthology.org/S14-2042.pdf
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