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A Survey on the Role of Negation in Sentiment Analysis

  • This paper presents a survey on the role of negation in sentiment analysis. Negation is a very common linguistic construction that affects polarity and, therefore, needs to be taken into consideration in sentiment analysis. We will present various computational approaches modeling negation in sentiment analysis. We will, in particular, focus on aspects such as level of representation used for sentiment analysis, negation word detection and scope of negation. We will also discuss limits and challenges of negation modeling on that task.

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Metadaten
Author:Michael WiegandGND, Alexandra Balahur, Benjamin Roth, Dietrich Klakow, Andrés Montoyo
URN:urn:nbn:de:bsz:mh39-84250
URL:https://dl.acm.org/citation.cfm?id=1858970
ISBN:9789057282669
Parent Title (English):Proceedings of the Workshop on Negation and Speculation in Natural Language Processing (NeSp-NLP 2010), 10 July 2010, Uppsala, Sweden
Publisher:Association for Computational Linguistics
Place of publication:Stroudsburg, PA
Editor:Roser Morante, Caroline Sporleder
Document Type:Conference Proceeding
Language:English
Year of first Publication:2010
Date of Publication (online):2019/01/17
Publicationstate:Veröffentlichungsversion
Reviewstate:Peer-Review
Tag:document management and text processing; language resources; natural language processing
GND Keyword:Computerlinguistik; Maschinelles Lernen; Natürliche Sprache; Negation; Text Mining
First Page:60
Last Page:68
DDC classes:400 Sprache / 400 Sprache, Linguistik
Open Access?:ja
Linguistics-Classification:Computerlinguistik
Licence (German):Es gilt das UrhG