Chinese Sentiment Analysis Using Bidirectional LSTM with Word Embedding-Reference-Cited by-同舟云学术

Chinese Sentiment Analysis Using Bidirectional LSTM with Word Embedding

Published:2016 Issue: Volume: Page:601-610
ISSN:0302-9743
Container-title:Cloud Computing and Security
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Author:

Xiao Zheng,Liang PiJun

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-48674-1_53

Reference31 articles.

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3. Long, J., Yu. M., Zhou, M., et al.: Target-dependent twitter sentiment classification. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (2011)

4. Pak, A., Paroubek, P.: Twitter as a corpus for sentiment analysis and opinion mining. In: Proceedings of International Conference on Language Resources and Evaluation (LREc), vol. 10 (2010)

5. Wen, X., Shao, L., Xue, Y., Fang, W.: A rapid learning algorithm for vehicle classification. Inf. Sci. 295(1), 395–406 (2015)

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