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%0 Conference Proceedings
%T CMUQ@Qatar:Using Rich Lexical Features for Sentiment Analysis on Twitter
%A Bin Wasi, Sabih
%A Neyaz, Rukhsar
%A Bouamor, Houda
%A Mohit, Behrang
%Y Nakov, Preslav
%Y Zesch, Torsten
%S Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)
%D 2014
%8 August
%I Association for Computational Linguistics
%C Dublin, Ireland
%F bin-wasi-etal-2014-cmuq
%R 10.3115/v1/S14-2029
%U https://aclanthology.org/S14-2029
%U https://doi.org/10.3115/v1/S14-2029
%P 186-191

Markdown (Informal)

[CMUQ@Qatar:Using Rich Lexical Features for Sentiment Analysis on Twitter](https://aclanthology.org/S14-2029) (Bin Wasi et al., SemEval 2014)

• CMUQ@Qatar:Using Rich Lexical Features for Sentiment Analysis on Twitter (Bin Wasi et al., SemEval 2014)

ACL

• Sabih Bin Wasi, Rukhsar Neyaz, Houda Bouamor, and Behrang Mohit. 2014. CMUQ@Qatar:Using Rich Lexical Features for Sentiment Analysis on Twitter. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pages 186–191, Dublin, Ireland. Association for Computational Linguistics.