University_of_Warwick: SENTIADAPTRON - A Domain Adaptable Sentiment Analyser for Tweets - Meets SemEval

Richard Townsend, Aaron Kalair, Ojas Kulkarni, Rob Procter, Maria Liakata


Anthology ID:
S14-2136
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:
768–772
Language:
URL:
https://aclanthology.org/S14-2136
DOI:
10.3115/v1/S14-2136
Bibkey:
Cite (ACL):
Richard Townsend, Aaron Kalair, Ojas Kulkarni, Rob Procter, and Maria Liakata. 2014. University_of_Warwick: SENTIADAPTRON - A Domain Adaptable Sentiment Analyser for Tweets - Meets SemEval. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pages 768–772, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
University_of_Warwick: SENTIADAPTRON - A Domain Adaptable Sentiment Analyser for Tweets - Meets SemEval (Townsend et al., SemEval 2014)
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PDF:
https://aclanthology.org/S14-2136.pdf