OPTWIMA: Comparing Knowledge-rich and Knowledge-poor Approaches for Sentiment Analysis in Short Informal Texts

Alexandra Balahur


Anthology ID:
S13-2076
Volume:
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)
Month:
June
Year:
2013
Address:
Atlanta, Georgia, USA
Editors:
Suresh Manandhar, Deniz Yuret
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
460–465
Language:
URL:
https://aclanthology.org/S13-2076
DOI:
Bibkey:
Cite (ACL):
Alexandra Balahur. 2013. OPTWIMA: Comparing Knowledge-rich and Knowledge-poor Approaches for Sentiment Analysis in Short Informal Texts. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013), pages 460–465, Atlanta, Georgia, USA. Association for Computational Linguistics.
Cite (Informal):
OPTWIMA: Comparing Knowledge-rich and Knowledge-poor Approaches for Sentiment Analysis in Short Informal Texts (Balahur, SemEval 2013)
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PDF:
https://aclanthology.org/S13-2076.pdf
Data
SemEval-2013 Task-2