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%0 Conference Proceedings
%T ECNU: Multi-level Sentiment Analysis on Twitter Using Traditional Linguistic Features and Word Embedding Features
%A Zhang, Zhihua
%A Wu, Guoshun
%A Lan, Man
%S Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)
%D 2015
%8 jun
%I Association for Computational Linguistics
%C Denver, Colorado
%F zhang-etal-2015-ecnu
%R 10.18653/v1/S15-2094
%U https://aclanthology.org/S15-2094
%U https://doi.org/10.18653/v1/S15-2094
%P 561-567

Markdown (Informal)

[ECNU: Multi-level Sentiment Analysis on Twitter Using Traditional Linguistic Features and Word Embedding Features](https://aclanthology.org/S15-2094) (Zhang et al., SemEval 2015)

• ECNU: Multi-level Sentiment Analysis on Twitter Using Traditional Linguistic Features and Word Embedding Features (Zhang et al., SemEval 2015)

ACL

• Zhihua Zhang, Guoshun Wu, and Man Lan. 2015. ECNU: Multi-level Sentiment Analysis on Twitter Using Traditional Linguistic Features and Word Embedding Features. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 561–567, Denver, Colorado. Association for Computational Linguistics.