Determining the polarity and source of opinions expressed in political debates

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5449 LNCS, Issue , 2009, Pages 468-480

  Balahur, Alexandra ^a   Kozareva, Zornitsa ^a   Montoyo, Andrés ^a  

^a UNIVERSITY OF ALICANTE   (Spain)

Author keywords

LSA; Opinion mining; Opinion source mining; Political discourse

Indexed keywords

DEPENDENCY ANALYSIS; LSA; MACHINE-LEARNING; OPINION MINING; OPINION SOURCE MINING; POLITICAL DEBATES; POLITICAL DISCOURSE; POSSIBLE SOLUTIONS; SIMILARITY MEASURE; SPEECH DATA; SPEECH SEGMENTS; TEXT SEGMENTS;

COMPUTATIONAL LINGUISTICS; LEARNING SYSTEMS; MINING; WORD PROCESSING;

TEXT PROCESSING;

EID: 67650558959     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-00382-0_38     Document Type: Conference Paper

References (17)

1. Pang, B., Lee, L.: Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval 2(1-2), 1-135 (2008)
2. Balahur, A., Lloret, E., Ferrández, O., Montoyo, A., Palomar, M., Muñoz, R.: The DLSIUAES Team's Participation in the TAC 2008 Tracks. In: Proceedings of the Text Analysis Conference 2008 Workshop, Washington, USA (2008)
3. Thomas, M., Pang, B., Lee, L.: Get out the vote: Determining support or opposition from Congressional floor-debate transcripts. In: Proceedings of EMNLP 2006 (2006)
4. Mullen, T., Malouf, R.: A preliminary investigation into sentiment analysis of informal political discourse. In: AAAI Symposium on Computational Approaches to Analysing Weblogs (AAAI-CAAW), pp. 159-162 (2006)
5. Turney, P., Mullen, T., Malouf, R.: A preliminary investigation into sentiment analysis of informal political discourse. In: Proceedings of the AAAI Symposium on Computational Approaches to Analysing Weblogs (AAAI-CAAW 2002) (2002)
6. Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up? Sentiment classification using machine learning techniques. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 79-86 (2002)
7. Dave, K., Lawrence, S., Pennock, D.: Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews. In: Proceedings of WWW 2003 (2003)
8. Gamon, M.: Sentiment classification on customer feedback data: Noisy data, large feature vectors, and the role of linguistic analysis. In: Proceedings of the International Conference on Computational Linguistics (COLING) (2004)
9. Matsumoto, S., Takamura, H., Okumura, M.: Sentiment classification using word subsequences and dependency sub-trees. In: Ho, T.-B., Cheung, D., Liu, H. (eds.) PAKDD 2005. LNCS, vol. 3518, pp. 301-311. Springer, Heidelberg (2005)
10. Ng, V., Dasgupta, S., Arifin, S.M.N.: Examining the role of linguistic knowledge sources in the automatic identification and classification of reviews. In: Proceedings of the COLING/ACL Main Conference Poster Sessions, July 2006, pp. 611-618. Association for Computational Linguistics, Sydney (2006)
11. Laver, M., Benoit, K., Garry, J.: Extracting policy positions from political texts using wor words as data. American Political Science Review 97, 311-331 (2003)
12. Martin, L.W., Vanberg, G.: A robust transformation procedure for interpreting political text. Political Analysis 16, 93-100 (2008)
13. Lin, W.-H., Wilson, T., Wiebe, J., Hauptmann, A.: Which side are you on? Identifying perspectives at the document and sentence levels. In: Lin, et al. (eds.) Proceedings of the Conference on Natural Language Learning (CoNLL 2006) (2006)
14. Strapparava, C., Valitutti, A.: WordNet-Affect: an affective extension of WordNet. In: Proceedings ofthe 4th International Conference on Language Resources and Evaluation (LREC 2004), Lisbon, pp. 1083-1086 (May 2004)
15. Scherer, K., Wallbott, H.G.: The ISEAR Questionnaire and Codebook (1997)
16. Balahur, A., Montoyo, A.: An Incremental Multilingual Approach to Forming a Culture Dependent Emotion Triggers Database. In: Proceedings of the 8th International Conference on Terminology and Knowledge Engineering (TKE 2008), Copenhagen (2008)
17. Balahur, A., Montoyo, A.: Multilingual Feature-driven Opinion Mining and Summarization from Customer Reviews. In: Kapetanios, E., Sugumaran, V., Spiliopoulou, M. (eds.) NLDB 2008. LNCS, vol. 5039, pp. 345-346. Springer, Heidelberg (2008)