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Verb Polarity Frames: a New Resource and its Application in Target-specific Polarity Classification

  • We discuss target-specific polarity classification for German news texts. Novel, verb-specific features are used in a Simple Logistic Regression model. The polar perspective a verb casts on its grammatical roles is exploited. Also, an additional, largely neglected polarity class is examined: controversial texts. We found that the straightforward definition of ’controversial’ is problematic. More or less balanced polarities in a text are a poor indicator of controversy. Instead, non-polar wording helps more than polarity aggregation. However, our novel features proved useful for the remaining polarity classes.

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Metadaten
Author:Manfred Klenner, Michael Amsler, Nora Hollenstein
URN:https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-2712
ISBN:978-3-934105-46-1
Document Type:Conference Proceeding
Language:English
Date of Publication (online):2014/10/23
Release Date:2014/10/23
Tag:Opion Mining; Sentiment Analyse
Opinion Mining; Sentiment Analysis
GND Keyword:Computerlinguistik
Source:Proceedings of the 12th edition of the KONVENS conference Vol. 1. - Hildesheim
PPN:Link zum Katalog
Contributor:Faaß, Gertrud
Institutes:Fachbereich III / Informationswissenschaft und Sprachtechnologie
DDC classes:400 Sprache / 400 Sprache, Linguistik
Collections:KONVENS 2014 / Proceedings of the 12th KONVENS 2014
Licence (German):License LogoCreative Commons - Namensnennung 3.0