Enhance user-level Sentiment Analysis on microblogs with approval relations

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

Volumn 8249 LNAI, Issue , 2013, Pages 133-144

  Pozzi, Federico Alberto ^a   Maccagnola, Daniele ^a   Fersini, Elisabetta ^a   Messina, Enza ^a  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX CHARACTERISTICS; EXPERIMENTAL INVESTIGATIONS; NATURAL LANGUAGES; POLARITY CLASSIFICATION; SENTIMENT ANALYSIS; SOCIAL INFLUENCE; SUPERVISED CLASSIFIERS; TEXTUAL FEATURES;

ARTIFICIAL INTELLIGENCE; DATA MINING;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84892712283     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-03524-6_12     Document Type: Conference Paper

References (16)

1. Pang, B., Lee, L.: Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval 2, 1-135 (2008)
2. Pozzi, F.A., Fersini, E., Messina, E.: Bayesian model averaging and model selection for polarity classification. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V., Vadera, S. (eds.) NLDB 2013. LNCS, vol. 7934, pp. 189-200. Springer, Heidelberg (2013)
3. Wang, S., Manning, C.D.: Baselines and bigrams: simple, good sentiment and topic classification. In: Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers, ACL 2012, vol. 2, pp. 90-94 (2012)
4. Maas, A.L., Daly, R.E., Pham, P.T., Huang, D., Ng, A.Y., Potts, C.: Learning word vectors for sentiment analysis. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, HLT 2011, vol. 1, pp. 142-150 (2011)
5. Go, A., Bhayani, R., Huang, L.: Twitter sentiment classification using distant supervision. Technical report, Stanford (2009)
6. Barbosa, L., Feng, J.: Robust sentiment detection on twitter from biased and noisy data. In: Proc. of ACL (2010)
7. Lazarsfeld, P.F., Merton, R.K.: Friendship as a social process: A substantive and methodological analysis. In: Berger, M., Abel, T., Page, C.H. (eds.) Freedom and Control in Modern Society, pp. 8-66. Van Nostrand, New York (1954)
8. Speriosu, M., Sudan, N., Upadhyay, S., Baldridge, J.: Twitter polarity classification with label propagation over lexical links and the follower graph. In: Proc. of the First Workshop on Unsupervised Learning in NLP (2011)
9. Tan, C., Lee, L., Tang, J., Jiang, L., Zhou, M., Li, P.: User-level sentiment analysis incorporating social networks. In: Proc. of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2011, pp. 1397-1405 (2011)
10. Hu, X., Tang, L., Tang, J., Liu, H.: Exploiting social relations for sentiment analysis in microblogging. In: Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, WSDM 2013, pp. 537-546. ACM (2013)
11. Wick, M., Rohanimanesh, K., Culotta, A., McCallum, A.: Samplerank: Learning preferences from atomic gradients. In: NIPS Workshop on Advances in Ranking (2009)
12. Dietterich, T.G.: Ensemble learning. In: The Handbook of Brain Theory and Neural Networks, pp. 405-508. Mit Pr. (2002)
13. Hoeting, J.A., Madigan, D., Raftery, A.E., Volinsky, C.T.: Bayesian model averaging: A tutorial. Statistical Science 14(4), 382-417 (1999)
14. Fersini, E., Messina, E., Archetti, F.: A probabilistic relational approach for web document clustering. Information Processing and Management 46(2), 117-130 (2010)
15. Sharara, H., Getoor, L., Norton, M.: Active surveying: A probabilistic approach for identifying key opinion leaders. In: IJCAI, pp. 1485-1490 (2011)
16. Fersini, E., Messina, E.: Web page classification through probabilistic relational models. International Journal of Pattern Recognition and Artificial Intelligence (2013)