CMUQ@Qatar:Using Rich Lexical Features for Sentiment Analysis on Twitter

Sabih Bin Wasi, Rukhsar Neyaz, Houda Bouamor, Behrang Mohit


Anthology ID:
S14-2029
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:
186–191
Language:
URL:
https://aclanthology.org/S14-2029
DOI:
10.3115/v1/S14-2029
Bibkey:
Cite (ACL):
Sabih Bin Wasi, Rukhsar Neyaz, Houda Bouamor, and Behrang Mohit. 2014. CMUQ@Qatar:Using Rich Lexical Features for Sentiment Analysis on Twitter. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pages 186–191, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
CMUQ@Qatar:Using Rich Lexical Features for Sentiment Analysis on Twitter (Bin Wasi et al., SemEval 2014)
Copy Citation:
PDF:
https://aclanthology.org/S14-2029.pdf