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Looking for Opinion in Land-Use Planning Corpora

Authors :
Mathieu Roche
Cédric Lopez
Maguelonne Teisseire
Eric Kergosien
ADVanced Analytics for data SciencE (ADVANSE)
Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM)
Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)
Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
VISEO
Numev (Labex), Geosud (Equipex)
Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-AgroParisTech-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)
Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
Source :
15th International Conference on Intelligent Text Processing and Computational Linguistics, Proceedings, Part II, CICLing: Conference on Intelligent Text Processing and Computational Linguistics, CICLing: Conference on Intelligent Text Processing and Computational Linguistics, Apr 2014, Kathmandu, Nepal. pp.128-140, ⟨10.1007/978-3-642-54903-8-11⟩, CICLing: Conference on Intelligent Text Processing and Computational Linguistics, Apr 2014, Kathmandu, Nepal. pp.128-140, ⟨10.1007/978-3-642-54903-8_11⟩, Computational linguistics and intelligent text processing. 15th International Conference, CICLing 2014, Kathmandu, Nepal, April 6-12, 2014, Proceedings, Part II, Computational Linguistics and Intelligent Text Processing ISBN: 9783642549021, CICLing (2)
Publication Year :
2014
Publisher :
HAL CCSD, 2014.

Abstract

International audience; A great deal of research on opinion mining and sentiment analysis has been done in specific contexts such as movie reviews, commercial evaluations, campaign speeches, etc. In this paper, we raise the issue of how appropriate these methods are for documents related to land-use planning. After highlighting limitations of existing proposals and discussing issues related to textual data, we present the method called Opiland (OPinion mIning from LAND-use planning documents) designed to semi-automatically mine opinions in specialized contexts. Experiments are conducted on a land-use planning dataset, and on three datasets related to others areas highlighting the relevance of our proposal.

Details

Language :
English
ISBN :
978-3-642-54902-1
ISBNs :
9783642549021
Database :
OpenAIRE
Journal :
15th International Conference on Intelligent Text Processing and Computational Linguistics, Proceedings, Part II, CICLing: Conference on Intelligent Text Processing and Computational Linguistics, CICLing: Conference on Intelligent Text Processing and Computational Linguistics, Apr 2014, Kathmandu, Nepal. pp.128-140, ⟨10.1007/978-3-642-54903-8-11⟩, CICLing: Conference on Intelligent Text Processing and Computational Linguistics, Apr 2014, Kathmandu, Nepal. pp.128-140, ⟨10.1007/978-3-642-54903-8_11⟩, Computational linguistics and intelligent text processing. 15th International Conference, CICLing 2014, Kathmandu, Nepal, April 6-12, 2014, Proceedings, Part II, Computational Linguistics and Intelligent Text Processing ISBN: 9783642549021, CICLing (2)
Accession number :
edsair.doi.dedup.....950a8a5da49b4470e36da4a5d254df96
Full Text :
https://doi.org/10.1007/978-3-642-54903-8-11⟩