Classification Algorithmof Chinese SentimentOrientation Based on Dictionary and LSTM-Reference-Cited by-同舟云学术

Classification Algorithmof Chinese SentimentOrientation Based on Dictionary and LSTM

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Big Data Research - ICBDR 2018
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Author:

Bin Ge¹,Chunhui He¹,Chong Zhang¹,Yanli Hu¹

Affiliation:

1. Science and Technology on InformationSystems Engineering Key Laboratory, National University of Defense Technology, Changsha, Hunan, P.R. China

Publisher

ACM Press

Reference22 articles.

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2. Hatzivassiloglou V, Mckeown KR. 1997. Predicting the Semantic Orientation of Adjectives. In Proceedings of the 8th Conference on European Chapter of the Association for Computational Linguistics (1997), 174--181.

3. Wiebe. Learning Subjective Adjectives fromCorpora. 2000.In Proceedings of the 17th National Conference on Artificial Intelligence and 20th Conference on Innovative Applications of Artificial Intelligence. AAAI Press, 735--740.

4. Turney P D, Littman M L. 2003. Measuring praise and criticism: Inference of Semantic Orientation from Association. ACM Trans on Information Systems. 21, 4, 315--346. DIO= http://doi.acm.org/10.1145/944012.944013.

5. Zhu Wei, Yan Jin, Zhou Yaqian. 2006. Semantic Orientation Computing Based on HowNet. Chinese Journal of Information Science. 20, 1 (2006), 14--20.

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