SeNTU: Sentiment Analysis of Tweets by Combining a Rule-based Classifier with Supervised Learning

Prerna Chikersal, Soujanya Poria, Erik Cambria


Anthology ID:
S15-2108
Volume:
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)
Month:
June
Year:
2015
Address:
Denver, Colorado
Editors:
Preslav Nakov, Torsten Zesch, Daniel Cer, David Jurgens
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
647–651
Language:
URL:
https://aclanthology.org/S15-2108
DOI:
10.18653/v1/S15-2108
Bibkey:
Cite (ACL):
Prerna Chikersal, Soujanya Poria, and Erik Cambria. 2015. SeNTU: Sentiment Analysis of Tweets by Combining a Rule-based Classifier with Supervised Learning. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 647–651, Denver, Colorado. Association for Computational Linguistics.
Cite (Informal):
SeNTU: Sentiment Analysis of Tweets by Combining a Rule-based Classifier with Supervised Learning (Chikersal et al., SemEval 2015)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-4/S15-2108.pdf