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Conference Papers Year : 2014

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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Dates and versions

lirmm-01054901 , version 1 (22-02-2017)

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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. pp.128-140, ⟨10.1007/978-3-642-54903-8-11⟩. ⟨lirmm-01054901⟩
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