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Semantic frames as an anchor representation for sentiment analysis

  • Current work on sentiment analysis is characterized by approaches with a pragmatic focus, which use shallow techniques in the interest of robustness but often rely on ad-hoc creation of data sets and methods. We argue that progress towards deep analysis depends on a) enriching shallow representations with linguistically motivated, rich information, and b) focussing different branches of research and combining ressources to create synergies with related work in NLP. In the paper, we propose SentiFrameNet, an extension to FrameNet, as a novel representation for sentiment analysis that is tailored to these aims.

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Metadaten
Author:Josef RuppenhoferGND, Ines Rehbein
URN:urn:nbn:de:bsz:mh39-52565
URL:http://www.aclweb.org/anthology/W12-3716
ISBN:978-1-937284-33-6
Parent Title (English):3rd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, July 12, 2012 Jeju, Republic of Korea
Publisher:Association for Computational Linguistics
Place of publication:Stroudsburg
Document Type:Conference Proceeding
Language:English
Year of first Publication:2012
Date of Publication (online):2016/09/08
Publicationstate:Veröffentlichungsversion
Reviewstate:Peer-Review
Tag:SentiFrameNet; sentiment analysis
GND Keyword:Automatische Textanalyse; Frame-Semantik; Propositionale Einstellung
First Page:104
Last Page:109
Dewey Decimal Classification:400 Sprache / 410 Linguistik
Leibniz-Classification:Sprache, Linguistik
Linguistics-Classification:Computerlinguistik
Open Access?:Ja
Licence (German):Es gilt das UrhG