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Emphasizing essential words for sentiment classification based on recurrent neural networks

Hu, Fei, Li, Li, Zhang, Zili, Wang, Jing-Yuan and Xu, Xiao-Fei 2017, Emphasizing essential words for sentiment classification based on recurrent neural networks, Journal of computer science and technology, vol. 32, no. 4, pp. 785-795, doi: 10.1007/s11390-017-1759-2.

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Title Emphasizing essential words for sentiment classification based on recurrent neural networks
Author(s) Hu, Fei
Li, Li
Zhang, ZiliORCID iD for Zhang, Zili orcid.org/0000-0002-8721-9333
Wang, Jing-Yuan
Xu, Xiao-Fei
Journal name Journal of computer science and technology
Volume number 32
Issue number 4
Start page 785
End page 795
Total pages 11
Publisher Springer
Place of publication New York, N.Y.
Publication date 2017-07
ISSN 1000-9000
1860-4749
Keyword(s) short text understanding
long short-term memory (LSTM)
gated recurrent unit (GRU)
sentiment classification
deep learning
Language eng
DOI 10.1007/s11390-017-1759-2
Field of Research 08 Information And Computing Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2017, Springer Science+Business Media, LLC & Science Press, China
Persistent URL http://hdl.handle.net/10536/DRO/DU:30105997

Document type: Journal Article
Collection: School of Information Technology
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