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RnR: A System for Extracting Rationale from Online Reviews and Ratings

Identifieur interne : 007188 ( Main/Exploration ); précédent : 007187; suivant : 007189

RnR: 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 :

RBID : ISTEX:4F3AF696BF730CEDAA5C68A56F3215ECC07AC394

English descriptors

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:


Links toward previous steps (curation, corpus...)


Le document en format XML

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   |area=    AustralieFrV1
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   |clé=     ISTEX:4F3AF696BF730CEDAA5C68A56F3215ECC07AC394
   |texte=   RnR: A System for Extracting Rationale from Online Reviews and Ratings
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