Sentiment Analysis of Film Reviews Based on Deep Learning Model Collaborated with Content Credibility Filtering You, X, Lv, X, Zhang, S, Sun, D and Gao, Shang 2021, Sentiment Analysis of Film Reviews Based on Deep Learning Model Collaborated with Content Credibility Filtering, in CollaborateCom 2020 : Proceedings of the International Conference on Collaborative Computing: Networking, Applications and Worksharing, Springer, Cham, Switzerland, pp. 305-319, doi: 10.1007/978-3-030-67537-0_19. Attached Files Name Description MIMEType Size Downloads Title Sentiment Analysis of Film Reviews Based on Deep Learning Model Collaborated with Content Credibility Filtering Author(s) You, X Lv, X Zhang, S Sun, D Gao, Shang orcid.org/0000-0002-2947-7780 Conference name Collaborative Computing: Networking, Applications and Worksharing. Conference (2020 : Shanghai, China) Conference location Shanghai, China Conference dates 16-18 Oct. 2020 Title of proceedings CollaborateCom 2020 : Proceedings of the International Conference on Collaborative Computing: Networking, Applications and Worksharing Publication date 2021 Start page 305 End page 319 Total pages 15 Publisher Springer Place of publication Cham, Switzerland Keyword(s) Sentiment analysis Film reviews mining Natural language processing Deep learning Credibility algorithm CORE2020 C ISBN 9783030675363 ISSN 1867-8211 1867-822X Language eng DOI 10.1007/978-3-030-67537-0_19 Indigenous content off HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30148600 Document type: Conference Paper 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, 04 Mar 2021, 14:12:53 EST Thu, 04 Mar 2021, 14:13:24 EST Fri, 05 Mar 2021, 04:02:35 EST Fri, 05 Mar 2021, 05:05:14 EST Thu, 11 Mar 2021, 14:02:23 EST Thu, 11 Mar 2021, 14:03:50 EST Thu, 11 Mar 2021, 14:48:53 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 13 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 04 Mar 2021, 14:13:24 EST

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