Looking for opinion in land-use planning corpora
Kergosien, E. ; Lopez, C. ; Roche, M. ; Teisseire, M.
Type de document
Communication scientifique avec actes
Affiliation de l'auteur
IRSTEA MONTPELLIER UMR TETIS FRA ; VISEO OBJET DIRECT FRA ; IRSTEA MONTPELLIER UMR TETIS FRA ; IRSTEA MONTPELLIER UMR TETIS FRA
Résumé / Abstract
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.
Lecture Notes in Computer Science, vol. 8404 LNCS, p. 128 - 140
CICLing 2014, 06/04/2014 - 12/04/2014, Kathmandu, NPL
Computational linguistics and intelligent text processing. 15th International Conference, CICLing 2014, Kathmandu, Nepal, April 6-12, 2014, Proceedings, Part II