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Sentiment Analysis and Sentence Classification in Long Book-Search Queries

Authors :
HTAIT, Amal
Fournier, Sébastien
Bellot, Patrice
Centre pour l'édition électronique ouverte (CLEO)
École des hautes études en sciences sociales (EHESS)-Avignon Université (AU)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)
Laboratoire d'Informatique et Systèmes (LIS)
Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)
Recherche d’information et Interactions (R2I)
Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)
HTAIT, Amal
Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)
Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)
Source :
CICLing, CICLing, Apr 2019, La Rochelle, France
Publication Year :
2019
Publisher :
HAL CCSD, 2019.

Abstract

International audience; Handling long queries can involve either reducing its size by retaining only useful sentences, or decomposing the long query into several short queries based on their content. A proper sentence classification improves the utility of these procedures. Can Sentiment Analysis has a role in sentence classification? This paper analysis the correlation between sentiment analysis and sentence classification in long book-search queries. Also, it studies the similarity in writing style between book reviews and sentences in book-search queries. To accomplish this study, a semi-supervised method for sentiment intensity prediction, and a language model based on book reviews are presented. In addition to graphical illustrations reflecting the feedback of this study, followed by interpretations and conclusions.

Details

Language :
English
Database :
OpenAIRE
Journal :
CICLing, CICLing, Apr 2019, La Rochelle, France
Accession number :
edsair.dedup.wf.001..59620562781860923dbfae359a145c5d