ECNU at SemEval-2016 Task 4: An Empirical Investigation of Traditional NLP Features and Word Embedding Features for Sentence-level and Topic-level Sentiment Analysis in Twitter

ECNU at SemEval-2016 Task 4: An Empirical Investigation of Traditional NLP Features and Word Embedding Features for Sentence-level and Topic-level Sentiment Analysis in Twitter Yunxiao Zhou author Zhihua Zhang author Man Lan author 2016-06 text Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) Steven Bethard editor Marine Carpuat editor Daniel Cer editor David Jurgens editor Preslav Nakov editor Torsten Zesch editor Association for Computational Linguistics San Diego, California conference publication zhou-etal-2016-ecnu 10.18653/v1/S16-1040 https://aclanthology.org/S16-1040/ 2016-06 256 261