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Separating Actor-View from Speaker-View Opinion Expressions using Linguistic Features

  • We examine different features and classifiers for the categorization of opinion words into actor and speaker view. To our knowledge, this is the first comprehensive work to address sentiment views on the word level taking into consideration opinion verbs, nouns and adjectives. We consider many high-level features requiring only few labeled training data. A detailed feature analysis produces linguistic insights into the nature of sentiment views. We also examine how far global constraints between different opinion words help to increase classification performance. Finally, we show that our (prior) word-level annotation correlates with contextual sentiment views.

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Metadaten
Author:Michael Wiegand, Marc Schulder, Josef RuppenhoferGND
URN:urn:nbn:de:bsz:mh39-55113
URL:http://www.aclweb.org/anthology/N16-1092
ISBN:978-1-941643-91-4
Parent Title (English):Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Publisher:Association for Computational Linguistics
Place of publication:San Diego (California)
Editor:Kevin Knight, Ani Nenkova, Owen Rambow
Document Type:Conference Proceeding
Language:English
Year of first Publication:2016
Date of Publication (online):2016/11/08
Publicationstate:Veröffentlichungsversion
Tag:opinion verb; sentiment analysis
GND Keyword:Automatische Textanalyse; Information Extraction; Meinungsverb; Propositionale Einstellung
First Page:778
Last Page:788
Dewey Decimal Classification:400 Sprache / 400 Sprache, Linguistik
Leibniz-Classification:Sprache, Linguistik
Linguistics-Classification:Computerlinguistik
Open Access?:Ja
Licence (German):Es gilt das UrhG