LLT-PolyU: Identifying Sentiment Intensity in Ironic Tweets

Hongzhi Xu, Enrico Santus, Anna Laszlo, Chu-Ren Huang


Anthology ID:
S15-2113
Volume:
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)
Month:
June
Year:
2015
Address:
Denver, Colorado
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
673–678
Language:
URL:
https://aclanthology.org/S15-2113
DOI:
10.18653/v1/S15-2113
Bibkey:
Cite (ACL):
Hongzhi Xu, Enrico Santus, Anna Laszlo, and Chu-Ren Huang. 2015. LLT-PolyU: Identifying Sentiment Intensity in Ironic Tweets. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 673–678, Denver, Colorado. Association for Computational Linguistics.
Cite (Informal):
LLT-PolyU: Identifying Sentiment Intensity in Ironic Tweets (Xu et al., SemEval 2015)
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PDF:
https://preview.aclanthology.org/remove-xml-comments/S15-2113.pdf