Applying deep neural networks for user intention identification Khattak, Asad, Habib, Anam, Asghar, Muhammad Zubair, Subhan, Fazli, Razzak, Imran and Habib, Ammara 2020, Applying deep neural networks for user intention identification, Soft Computing, pp. 1-30, doi: 10.1007/s00500-020-05290-z. Attached Files Name Description MIMEType Size Downloads Title Applying deep neural networks for user intention identification Author(s) Khattak, Asad Habib, Anam Asghar, Muhammad Zubair Subhan, Fazli Razzak, Imran orcid.org/0000-0002-3930-6600 Habib, Ammara Journal name Soft Computing Start page 1 End page 30 Total pages 30 Publisher Springer Science and Business Media LLC Place of publication New York, N.Y. Publication date 2020 ISSN 1432-7643 1433-7479 Keyword(s) Intention identification Intention mining Deep learning CNN LSTM Product reviews Social media services Notes Article in Press Language eng DOI 10.1007/s00500-020-05290-z Indigenous content off Field of Research 0102 Applied Mathematics 0801 Artificial Intelligence and Image Processing 1702 Cognitive Sciences HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30143226 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 24 Sep 2020, 15:55:20 EST Fri, 25 Sep 2020, 05:02:56 EST Mon, 05 Oct 2020, 14:31:21 EST Tue, 19 Jan 2021, 05:03:39 EST Sat, 30 Jan 2021, 01:30:17 EST Wed, 03 Feb 2021, 11:27:15 EST Wed, 03 Feb 2021, 11:30:45 EST Wed, 03 Feb 2021, 11:31:30 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 41 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Mon, 05 Oct 2020, 14:31:21 EST

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