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
Editors:
Preslav Nakov, Torsten Zesch, Daniel Cer, David Jurgens
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
673–678
Language:
URL:
https://preview.aclanthology.org/build-pipeline-with-new-library/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)
Copy Citation:
PDF:
https://preview.aclanthology.org/build-pipeline-with-new-library/S15-2113.pdf