Computational Linguistics and Intelligent Text Processing

Volume 8404 of the series Lecture Notes in Computer Science pp 128-140

Looking for Opinion in Land-Use Planning Corpora

  • Eric KergosienAffiliated withLIRMM - CNRS, Univ. Montpellier 2Irstea, UMR TETIS
  • , Cédric LopezAffiliated withViseo - Objet Direct
  • , Mathieu RocheAffiliated withCirad, UMR TETIS
  • , Maguelonne TeisseireAffiliated withLIRMM - CNRS, Univ. Montpellier 2Irstea, UMR TETIS

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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.


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