Article | Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16 | Bootstrapping an Unsupervised Approach for Classifying Agreement and Disagreement
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Title:
Bootstrapping an Unsupervised Approach for Classifying Agreement and Disagreement
Author:
Bernd Opitz: University of Mannheim, Germany Cäcilia Zirn: University of Mannheim, Germany
Download:
Full text (pdf)
Year:
2013
Conference:
Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16
Issue:
085
Article no.:
023
Pages:
253-265
No. of pages:
13
Publication type:
Abstract and Fulltext
Published:
2013-05-17
ISBN:
978-91-7519-589-6
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press; Linköpings universitet


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People tend to have various opinions about topics. In discussions; they can either agree or disagree with another person. The recognition of agreement and disagreement is a useful prerequisite for many applications. It could be used by political scientists to measure how controversial political issues are; or help a company to analyze how well people like their new products. In this work; we develop an approach for recognizing agreement and disagreement. However; this is a challenging task. While keyword-based approaches are only able to cover a limited set of phrases; machine learning approaches require a large amount of training data. We therefore combine advantages of both methods by using a bootstrapping approach. With our completely unsupervised technique; we achieve an accuracy of 72.85%. Besides; we investigate the limitations of a keyword based approach and a machine learning approach in addition to comparing various sets of features.

Keywords: Text Classification; Agreement; Disagreement; Opinion Mining

Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16

Author:
Bernd Opitz, Cäcilia Zirn
Title:
Bootstrapping an Unsupervised Approach for Classifying Agreement and Disagreement
References:

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Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16

Author:
Bernd Opitz, Cäcilia Zirn
Title:
Bootstrapping an Unsupervised Approach for Classifying Agreement and Disagreement
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