Looking for Opinion in Land-Use Planning Corpora

  • Eric Kergosien
  • Cédric Lopez
  • Mathieu Roche
  • Maguelonne Teisseire
Conference paper

DOI: 10.1007/978-3-642-54903-8_11

Volume 8404 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Kergosien E., Lopez C., Roche M., Teisseire M. (2014) Looking for Opinion in Land-Use Planning Corpora. In: Gelbukh A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2014. Lecture Notes in Computer Science, vol 8404. Springer, Berlin, Heidelberg

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.

Keywords

Land-use planning Text-Mining Opinion-mining Corpus Lexicon 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Eric Kergosien
    • 1
    • 2
  • Cédric Lopez
    • 4
  • Mathieu Roche
    • 3
  • Maguelonne Teisseire
    • 1
    • 2
  1. 1.LIRMM - CNRSUniv. Montpellier 2Montpellier Cedex 5France
  2. 2.Irstea, UMR TETISMontpellier Cedex 5France
  3. 3.Cirad, UMR TETISMontpellier Cedex 5France
  4. 4.Viseo - Objet DirectGrenobleFrance