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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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Main Conference Proceedings of the 12th Konvens 2014
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| Author: | Manfred Klenner, Michael Amsler, Nora Hollenstein |
|---|---|
| URN: | https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-2712 |
| Parent Title (English): | Proceedings of the 12th edition of the KONVENS conference |
| Document Type: | Conference Proceeding |
| Language: | English |
| Date of Publication (online): | 2014/10/23 |
| Release Date: | 2014/10/23 |
| Tag: | Sentiment Analyse Opinion Mining; Sentiment Analysis |
| GND Keyword: | Computerlinguistik |
| First Page: | 106 |
| Last Page: | 115 |
| 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): |  Creative Commons - Namensnennung 3.0 |
