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
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bestgen, Y.: Building affective lexicons from specific corpora for automatic sentiment analysis. In: Proceedings of LREC, Trento, Italy, pp. 496–500 (2008)
Buléon, P., Méo, G.D.: L’espace social. Armand Colin, Annales de la recherche urbaine (2005)
Cambria, E., Havasi, C., Hussain, A.: Senticnet 2: A semantic and affective resource for opinion mining and sentiment analysis. In: FLAIRS Conference. AAAI Press (2012)
Debarbieux, B., Vanier, M.: Ces territorialités qui se dessinent. Editions de l’Aube, 267 pages, Datar (2002)
Duthil, B., Trousset, F., Roche, M., Dray, G., Plantié, M., Montmain, J., Poncelet, P.: Towards an automatic characterization of criteria. In: Hameurlain, A., Liddle, S.W., Schewe, K.-D., Zhou, X. (eds.) DEXA 2011, Part I. LNCS, vol. 6860, pp. 457–465. Springer, Heidelberg (2011)
Esuli, A., Sebastiani, F.: Sentiwordnet: A publicly available lexical resource for opinion mining. In: 5th Conference on Language Resources and Evaluation, pp. 417–422 (2006)
Fan, W., Sun, S., Song, G.: Sentiment classification for chinese netnews comments based on multiple classifiers integration. In: Proc. of the Int. Joint Conf. on Comp. Sciences and Optimization, pp. 829–834 (2011)
Joshi, A., Balamurali, P., Bhattacharyya, P., Mohanty, R.: C-feel-it: a sentiment analyzer for microblogs. In: Proc. of HLT, pp. 127–132 (2011)
Kennedy, A., Inkpen, D.: Sentiment classification of movie reviews using contextual valence shifters. Computational Intelligence 22(2), 110–125 (2006)
Klebanov, B., Beigman, E., Diermeier, D.: Vocabulary choice as an indicator of perspective. In: Proceedings of the ACL 2010, Conference Short Papers, ACLShort 2010, pp. 253–257. Association for Computational Linguistics, Stroudsburg (2010)
Lafourcade, M.: Making people play for lexical acquisition. In: Proc. 7th Symposium on Natural Language Processing (SNLP 2007), pp. 13–15 (2007)
Liu, B.: Sentiment analysis and opinion mining, p. 167. Morgan and Claypool Publishers (2012)
Pak, A., Paroubek, P.: Microblogging for micro sentiment analysis and opinion mining. TAL 51(3), 75–100 (2010)
Piolat, A., Booth, R., Chung, C., Davids, M., Pennebaker, J.: La version française du dictionnaire pour le liwc: modalités de construction et exemples d’utilisation. Psychologie Française 56(3), 145–159 (2011)
Plutchik, R.: The nature of emotions. American Scientist 89(4), 344–350 (2001)
Rice, D.R., Zorn, C.: Corpus-based dictionaries for sentiment analysis of specialized vocabularies. In: Proceedings of NDATAD 2013: New Directions in Analyzing Text as Data Workshop 2013, London, England (2013)
Plantié, M., Roche, M., Dray, G., Poncelet, P.: Is a voting approach accurate for opinion mining? In: Song, I.-Y., Eder, J., Nguyen, T.M. (eds.) DaWaK 2008. LNCS, vol. 5182, pp. 413–422. Springer, Heidelberg (2008)
Torres-Moreno, J., El-Beze, M., Bechet, F., Camelin, N.: Thumbs up or thumbs down? semantic orientation applied to unsupervised classification of reviews. In: Proc. of ACL, pp. 417–424 (2009)
Turney, P.: Thumbs up or thumbs down? semantic orientation applied to unsupervised classification of reviews. In: Proc. of ACL, pp. 417–424 (2002)
Vanier, M.: Territoires, territorialité, territorialisation - controverses et perspectives. In: PUR, pp. 417–424 (2002)
Wiebe, J., Riloff, E.: Finding mutual benefit between subjectivity analysis and information extraction. IEEE Transactions on Affective Computing 2(4), 175–191 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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. https://doi.org/10.1007/978-3-642-54903-8_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-54903-8_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54902-1
Online ISBN: 978-3-642-54903-8
eBook Packages: Computer ScienceComputer Science (R0)