Article published in:
From Text to Political Positions: Text analysis across disciplines
Edited by Bertie Kaal, Isa Maks and Annemarie van Elfrinkhof
[Discourse Approaches to Politics, Society and Culture 55] 2014
► pp. 117134
References

References

Banea, C., R. Mihalcea, and J. Wiebe
2008A bootstrapping method for building subjectivity lexicons for languages with scarce resources. LREC 2008.
Chesley, P., B. Vincent, L. Xu, and R. Srihari
2006Using Verbs and Adjectives to Automatically Classify Blog Sentiment. AAAI Spring Symposium Technical Report SS-06-03.
Compact Oxford English Dictionary: opinion
. (n.d.). (O. U. Press, Producer) Retrieved 06 05, 2009 from Compact Oxford English Dictionary: http://​www​.askoxford​.com:80​/concise​_ oed​/opinion
Ding, X., and B. Liu
2007The utility of linguistic rules in opinion mining. Proceedings of the 30th Annual international ACM SIGIR Conference on Research and Development in information Retrieval, pp. 811–812. Amsterdam: ACM, New York, NY.Google Scholar
Edens, J., M. Liem., T. Mensink, R. Weve, and L. van Zande
2006Measuring Politics. University of Amsterdam, Amsterdam.Google Scholar
Esuli, A. and F. Sebastiani
2006Determining term subjectivity and term orientation for opinion mining. Proceedings of the Eleventh Conference on European Chapter of the Association for Computational Linguistics. Trento, Italy: European Chapter Meeting of the ACL. Association for Computational Linguistics., pp. 193–200.
Furuse, O., N. Hiroshima, S. Yamada, and R. Kataoka
2007Opinion sentence search engine on open-domain blog. Proceedings of the 20th International Joint Conference of Artificial Intelligence (IJCAI2007).
Jijkoun, V. and K. Hofmann
2009Generating a non-English subjectivity lexicon: Relations that matter. Second Conference of the European Chapter of the Association for Computational Linguistics (EACL-09).
Kamps, J. and M. Marx
2001Words with attitude. 1st International WordNet Conference, pp. 332–341.
Kim, S.-M. and E. Hovy
2004Determining the sentiment of opinions. Proceedings of 
COLING-04, pp. 1367–1373. Geneva, Switzerland.
Kim, S.-M. and E.H. Hovy
2005Automatic detection of opinion bearing words and sentences. Second International Joint Conference on Natural Language Processing.
Ku, L., Y. Liang, and H. Chen
2006 Tagging heterogeneous evaluation corpora for opinionated tasks. LREC 2006.
Liu, B.
2007Web Data Mining: Exploring Hyperlinks, Contents and Usage Data. Heidelberg: Springer.Google Scholar
Manning, C., P. Raghavan, and H. Schütze
2008Introduction to Information Retrieval. Cambridge: Cambridge University Press. CrossrefGoogle Scholar
Marx, M., N. Aders and A. Schuth
2010Digital sustainable publication of legacy parliamentery proceedings. In Proceedings dg.o 2010.
Marx, M. and A. Schuth
2010DutchParl. A corpus of parliamentary proceedings in Dutch. In Proceedings LREC 2010. pp. 3670–3677.
McKeown, K. and V. Hatzivassiloglou
1997Predicting the semantic orientation of adjectives. Proceedings of the 35th annual meeting of ACL.
Mishne, G.
2005Experiments with mood classification in blog posts. 1st Workshop on Stylistic Analysis Of Text For Information Access.
Mullen, T. and R. Malouf
2006A preliminary investigation into sentiment analysis of informal political discourse. AAAI Symposium on Computational Approaches to Analysing Weblogs (AAAI-CAAW), pp. 159–162.
Osgood, C., G. Suci, and P. Tannenbaum
1957The measurement of meaning. Urbana, IL: University of Illinois Press.Google Scholar
Osman, D. and J. Yearwood
2007Opinion search in web logs. Proceedings of the Eighteenth Conference on Australasian Database, 63 . Ballarat, Victoria, Australia.
Pang, B. and L. Lee
2008Opinion mining and sentiment analysis. Foundations and Trends® in Information Retrieval, 2 (1-2), pp. 1–135. CrossrefGoogle Scholar
Riloff, E. and J. Wiebe
2003Learning extraction patterns for subjective expressions. Conference on Empirical Methods in Natural Language Processing (EMNLP-03), pp. 105–112.
Turney, P.
2001Thumbs up or thumbs down?: Semantic orientation applied to unsupervised classification of reviews. Proceedings of the 40th Annual Meeting on Association For Computational Linguistics pp. 417–424. Philadelphia, Pennsylvania: Annual Meeting of the ACL. Association for Computational Linguistics, Morristown, NJ.
Turney, P. and M. Littman
2003Measuring praise and criticism: Inference of semantic orientation from association. ACM Trans. Inf. Syst., 21(4), pp. 315–346. CrossrefGoogle Scholar
Tweede Kamer: Plenaire vergaderingen
. (n.d.). Retrieved 06 03, 2009 from Tweede Kamer der Staten Generaal: http://​www​.tweedekamer​.nl​/vergaderingen​/plenaire​_vergaderingen​/index​.jsp
Van Dale online dictionary: mening
. (n.d.). (V. Dale, Producer) Retrieved 06 05, 2009 from Mening: http://​www​.vandale​.nl​/vandale​/opzoeken​/woordenboek​/?zoekwoord​=mening
WekaWiki: Primer
. (n.d.). Retrieved 06 10, 2009 from Weka-Machine Learning Software in Java: http://​weka​.wiki​.sourceforge​.net​/Primer
Wiebe, J.M., R.F. Bruce, and T.P. O’Hara
1999Development and use of a gold-standard data set for subjectivity classifications. Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics, pp. 246–253. College Park, Maryland: Association for Computational Linguistics. CrossrefGoogle Scholar
Wiebe, J. and E. Riloff
2005Creating subjective and objective sentence classifiers from unannotated texts. In Computational Linguistics and Intelligent Text Processing Vol. 3406/2005, pp. 486–497. Heidelberg: Springer. CrossrefGoogle Scholar
Wilson, T., D. Pierce, and J. Wiebe
2003Identifying opinionated sentences. Proceedings of the 2003 Conference of the North American Chapter of the Association For Computational Linguistics on Human Language Technology:Demonstrations. 4, pp. 33–34. Edmonton, Canada: North American Chapter of the Association for Computational Linguistics.Google Scholar
Yu, H. and V. Hatzivassiloglou
2003Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences. Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing, pp. 129–136. Crossref