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%0 Conference Proceedings
%T LLT-PolyU: Identifying Sentiment Intensity in Ironic Tweets
%A Xu, Hongzhi
%A Santus, Enrico
%A Laszlo, Anna
%A Huang, Chu-Ren
%Y Nakov, Preslav
%Y Zesch, Torsten
%Y Cer, Daniel
%Y Jurgens, David
%S Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)
%D 2015
%8 June
%I Association for Computational Linguistics
%C Denver, Colorado
%F xu-etal-2015-llt
%R 10.18653/v1/S15-2113
%U https://aclanthology.org/S15-2113
%U https://doi.org/10.18653/v1/S15-2113
%P 673-678

Markdown (Informal)

[LLT-PolyU: Identifying Sentiment Intensity in Ironic Tweets](https://aclanthology.org/S15-2113) (Xu et al., SemEval 2015)

• LLT-PolyU: Identifying Sentiment Intensity in Ironic Tweets (Xu et al., SemEval 2015)

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.