New avenues in opinion mining and sentiment analysis

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Metadaten
Author:Erik Cambria, Björn SchullerORCiDGND, Yunqing Xia, Catherine Havasi
URN:urn:nbn:de:bvb:384-opus4-726188
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/72618
ISSN:1541-1672OPAC
Parent Title (English):IEEE Intelligent Systems
Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Type:Article
Language:English
Year of first Publication:2013
Publishing Institution:Universität Augsburg
Release Date:2020/06/09
Tag:Computer Networks and Communications; Artificial Intelligence
Volume:28
Issue:2
First Page:15
Last Page:21
DOI:https://doi.org/10.1109/mis.2013.30
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht

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