Looking for Opinion in Land-Use Planning Corpora

被引:0
作者
Kergosien, Eric [1 ,2 ]
Lopez, Cedric [4 ]
Roche, Mathieu [3 ]
Teisseire, Maguelonne [1 ,2 ]
机构
[1] Univ Montpellier 2, LIRMM CNRS, 161 Rue Ada, F-34095 Montpellier 5, France
[2] Irstea, UMR TETIS, F-34093 Montpellier 5, France
[3] Cirad, UMR TETIS, F-34093 Montpellier 5, France
[4] Viseo Objet Direct, F-38000 Grenoble, France
来源
COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, CICLING 2014, PART II | 2014年 / 8404卷
关键词
Land-use planning; Text-Mining; Opinion-mining; Corpus Lexicon;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:128 / 140
页数:13
相关论文
共 21 条
[1]  
[Anonymous], 2010, P ACL 2010 C SHORT P
[2]  
[Anonymous], P SNLP 2007 PATT THA
[3]  
Bestgen Y, 2008, SIXTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, LREC 2008, P496
[4]  
Buleon P., 2005, ESPACE SOCIAL
[5]  
Cambria E., 2012, FLAIRS C
[6]  
Debarbieux Bernard., 2002, Ces territorialites qui se dessinent
[7]  
Duthil Benjamin, 2011, Database and Expert Systems Applications. Proceedings 22nd International Conference, DEXA 2011, P457, DOI 10.1007/978-3-642-23088-2_34
[8]  
Esuli Andrea., 2006, LREC 2006 Proceedings, 2006, S, P417
[9]  
Joshi A, 2011, P 49 ANN M ASS COMP, P127
[10]   Sentiment classification of movie reviews using contextual valence shifters [J].
Kennedy, Alistair ;
Inkpen, Diana .
COMPUTATIONAL INTELLIGENCE, 2006, 22 (02) :110-125