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Measuring the Effect of Discourse Structure on Sentiment Analysis

Chardon, Baptiste and Benamara Zitoune, Farah and Mathieu, Yannick and Popescu, Vladimir and Asher, Nicholas Measuring the Effect of Discourse Structure on Sentiment Analysis. (2013) In: 14th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2013), 24 March 2013 - 30 March 2013 (Samos, Greece).

(Document in English)

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Official URL: http://dx.doi.org/10.1007/978-3-642-37256-8_3


The aim of this paper is twofold: measuring the effect of discourse structure when assessing the overall opinion of a document and analyzing to what extent these effects depend on the corpus genre. Using Segmented Discourse Representation Theory as our formal framework, we propose several strategies to compute the overall rating. Our results show that discourse-based strategies lead to better scores in terms of accuracy and Pearson’s correlation than state-of-the-art approaches.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in Volume 7817 Lecture Notes in Computer Science ISSN : 0302-9743. ISBN: 978-3-642-37255-1. The original PDF is available at : http://link.springer.com/chapter/10.1007%2F978-3-642-37256-8_3
HAL Id:hal-01229070
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Synapse Développement (FRANCE)
Laboratory name:
Deposited On:22 Oct 2015 08:32

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