RnR: A System for Extracting Rationale from Online Reviews and Ratings
Identifieur interne : 007188 ( Main/Exploration ); précédent : 007187; suivant : 007189RnR: A System for Extracting Rationale from Online Reviews and Ratings
Auteurs : Dwi A. P. Rahayu [Australie] ; Shonali Krishnaswamy [Australie] ; Cyril Labbe [France] ; Oshadi Alhakoon [Australie]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
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Abstract
Abstract: In this paper we present a web based system as well as web service based application to summarise and extract the rationale that underpins online ratings and reviews. The web-based version of RnR system is available for testing from http://rnrsystem.com/RnRSystem. RnR system web service is available from http://rnrsystem.com/axis2/services/RnRData?wsdl.
Url:
DOI: 10.1007/978-3-642-17358-5_70
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: In this paper we present a web based system as well as web service based application to summarise and extract the rationale that underpins online ratings and reviews. The web-based version of RnR system is available for testing from http://rnrsystem.com/RnRSystem. RnR system web service is available from http://rnrsystem.com/axis2/services/RnRData?wsdl.</div>
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