Looking for opinion in land-use planning corpora

Kergosien Eric, Lopez Cédric, Roche Mathieu, Teisseire Maguelonne. 2014. Looking for opinion in land-use planning corpora. In : Computational linguistics and intelligent text processing. 15th International Conference, CICLing 2014, Kathmandu, Nepal, April 6-12, 2014, Proceedings, Part II. Alexander Gelbukh (ed.). Berlin : Springer, 128-140. (Lecture Notes in Computer Science, 8404) ISBN 978-3-642-54902-1

Résumé : 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.

Classification Agris : C30 - Documentation et information
000 - Autres thèmes
U30 - Méthodes de recherche
P01 - Conservation de la nature et ressources foncières

Auteurs et affiliations

• Kergosien Eric, LIRMM (FRA)
• Lopez Cédric, VISEO (FRA)
• Roche Mathieu, CIRAD-ES-UMR TETIS (FRA) ORCID: 0000-0003-3272-8568
• Teisseire Maguelonne, LIRMM (FRA)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/574252/)

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