Looking for Opinion in Land-Use Planning Corpora

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.
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Communication dans un congrès
CICLing: Conference on Intelligent Text Processing and Computational Linguistics, Apr 2014, Kathmandu, Nepal. Springer-Verlag, 15th International Conference on Intelligent Text Processing and Computational Linguistics, Proceedings, Part II, LNCS (8404), pp.128-140, 2014, Computational Linguistics and Intelligent Text Processing. 〈10.1007/978-3-642-54903-8_11〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01054901
Contributeur : Mathieu Roche <>
Soumis le : mercredi 22 février 2017 - 20:12:27
Dernière modification le : lundi 22 octobre 2018 - 09:54:03
Document(s) archivé(s) le : mardi 23 mai 2017 - 14:51:23

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mt2014-pub00044005.pdf
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Eric Kergosien, Cédric Lopez, Mathieu Roche, Maguelonne Teisseire. Looking for Opinion in Land-Use Planning Corpora. CICLing: Conference on Intelligent Text Processing and Computational Linguistics, Apr 2014, Kathmandu, Nepal. Springer-Verlag, 15th International Conference on Intelligent Text Processing and Computational Linguistics, Proceedings, Part II, LNCS (8404), pp.128-140, 2014, Computational Linguistics and Intelligent Text Processing. 〈10.1007/978-3-642-54903-8_11〉. 〈lirmm-01054901〉

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