Sentiment analysis on twitter data for Portuguese language

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

Volumn 7243 LNAI, Issue , 2012, Pages 241-247

  Souza, Marlo ^a   Vieira, Renata ^a  

^a PONTIFICAL CATHOLIC UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

Author keywords

Portuguese language; Sentiment Analysis; Twitter

Indexed keywords

PORTUGUESE LANGUAGES; PREPROCESSING TECHNIQUES; SENTIMENT ANALYSIS; TWITTER;

SOCIAL NETWORKING (ONLINE);

DATA MINING;

EID: 84858375897     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-28885-2_28     Document Type: Conference Paper

References (27)

1. Asher, N., Benamara, F., Mathieu, Y.: Appraisal of opinion expressions in discourse. Lingvisticæ Investigationes 31.2, 279-292 (2009)
2. Calais Guerra, P.H., Veloso, A., Meira Jr., W., Almeida, V.: From bias to opinion: a transfer-learning approach to real-time sentiment analysis. In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2011, pp. 150-158. ACM, New York (2011), http://doi.acm.org/10.1145/2020408.2020438
3. Choi, Y., Cardie, C.: Learning with compositional semantics as structural inference for subsentential sentiment analysis. In: EMNLP 2008, pp. 793-801. ACL, Stroudsburg (2008)
4. Davidov, D., Tsur, O., Rappoport, A.: Enhanced sentiment learning using twitter hashtags and smileys. In: COLING 2010, pp. 241-249. ACL, Stroudsburg (2010)
5. Diakopoulos, N.A., Shamma, D.A.: Characterizing debate performance via aggregated twitter sentiment. In: CHI 2010, pp. 1195-1198. ACM, New York (2010)
6. Ding, X., Liu, B., Zhang, L.: Entity discovery and assignment for opinion mining applications. In: KDD 2009, pp. 1125-1134. ACM, New York (2009)
7. Gimpel, K., Schneider, N., O'Connor, B., Das, D., Mills, D., Eisenstein, J., Heilman, M., Yogatama, D., Flanigan, J., Smith, N.A.: Part-of-speech tagging for twitter: Annotation, features, and experiments. In: ACL 2011 (Short Papers), pp. 42-47. ACL (2011)
8. Go, A., Huang, L., Bhayani, R.: Twitter sentiment analysis. Entropy, 17 (2009)
9. Golder, S.A., Macy, M.W.: Diurnal and Seasonal Mood Vary with Work, Sleep, and Daylength Across Diverse Cultures. Science 333(6051), 1878-1881 (2011)
10. Grefenstette, G., Qu, Y., Shanahan, J.G., Evans, D.A.: Coupling niche browsers and affect analysis for an opinion mining application. In: RIAO 2004, pp. 186-194. CID (2004)
11. Han, B., Baldwin, T.: Lexical normalisation of short text messages: Makn sens a #twitter. In: ACL-HLT 2011 (2011)
12. Jansen, B.J., Zhang, M., Sobel, K., Chowdury, A.: Twitter power: Tweets as electronic word of mouth. Journal of the American Society for Information Science and Technology 60(11), 2169-2188 (2009)
13. Kamps, J., Marx, M., Mokken, R.J., de Rijke, M.: Using WordNet to measure semantic orientation of adjectives. In: LREC 2004 (2004)
14. Kouloumpis, E., Wilson, T., Moore, J.: Twitter sentiment analysis: The good the bad and the omg! In: Artificial Intelligence, pp. 538-541 (2011)
15. Moilanen, K., Pulman, S.: Sentiment composition. In: RANLP 2007, Borovets, Bulgaria, pp. 378-382 (2007)
16. Pak, A., Paroubek, P.: Twitter as a corpus for sentiment analysis and opinion mining. Computer, 1320-1326 (2010)
17. Pang, B., Lee, L.: A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In: Proceedings of the ACL, pp. 271-278 (2004)
18. Riloff, E., Wiebe, J., Phillips, W.: Exploiting subjectivity classification to improve information extraction. In: AAAI 2005 (2005)
19. Schwenter, S.A.: The pragmatics of negation in Brazilian Portuguese. Lingua 115(10), 1427-1456 (2005)
20. Silva, I.S., Gomide, J., Veloso, A., Meira Jr., W., Ferreira, R.: Effective sentiment stream analysis with self-augmenting training and demand-driven projection. In: Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information, SIGIR 2011, pp. 475-484. ACM, New York (2011), http://doi.acm.org/10.1145/2009916.2009981
21. Silva, M.J., Team, R.: Notas sobre a realizao e qualidade do twitómetro. Tech. rep., University of Lisbon, Faculty of Sciences, LASIGE (May 2011)
22. Silva, M.J., Carvalho, P., Costa, C., Sarmento, L.: Automatic expansion of a social judgment lexicon for sentiment analysis. Technical Report TR 1008 University of Lisbon Faculty of Sciences LASIGE (2010)
23. Souza, M., Vieira, R., Busetti, D., Chishman, R., Alves, I.M.: Construction of a portuguese opinion lexicon from multiple resources. In: STIL 2011, Cuiabá, Brazil (2011)
24. Turney, P.D.: Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews. In: ACL 2002, pp. 417-424. Association for Computational Linguistics, Morristown (2002)
25. Wiegand, M., Balahur, A., Roth, B., Klakow, D.: A survey on the role of negation in sentiment analysis. Imagine, 60-68 (July 2010)
26. Wilson, T., Wiebe, J., Hwa, R.: Recognizing strong and weak opinion clauses. Computational Intelligence 22, 73-99 (2006)
27. Wu, Y., Zhang, Q., Huang, X., Wu, L.: Phrase dependency parsing for opinion mining. In: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, pp. 1533-1541. Association for Computational Linguistics, Singapore (2009), http://www.aclweb.org/anthology/D/D09/D09-1159