ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis

Basiri, Mohammad Ehsan, Nemati, Shahla, Abdar, Moloud, Cambria, Erik and Acharrya, U. Rajendra 2021, ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis, Future Generation Computer Systems, vol. 115, pp. 279-294, doi: 10.1016/j.future.2020.08.005.

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Title ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis
Author(s) Basiri, Mohammad Ehsan
Nemati, Shahla
Abdar, MoloudORCID iD for Abdar, Moloud orcid.org/0000-0002-3059-6357
Cambria, Erik
Acharrya, U. Rajendra
Journal name Future Generation Computer Systems
Volume number 115
Start page 279
End page 294
Total pages 16
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2021-02
ISSN 0167-739X
Keyword(s) Sentiment analysis
Deep learning
Convolutional neural network
Long short-term memory
Attention mechanism
Language eng
DOI 10.1016/j.future.2020.08.005
Indigenous content off
Field of Research 0803 Computer Software
0805 Distributed Computing
0806 Information Systems
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30142027

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