Co-training over Domain-independent and Domain-dependent features for sentiment analysis of an online cancer support community

Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013

Volumn , Issue , 2013, Pages 413-417

  Biyani, Prakhar ^a   Caragea, Cornelia ^b   Mitra, Prasenjit ^a   Zhou, Chong ^a   Yen, John ^a   Greer, Greta E ^c   Portier, Kenneth ^c  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b Center for Advanced Research and Technology   (United States)

^c AMERICAN CANCER SOCIETY   (United States)

Author keywords

Co training; Direct emotional support; Indirect emotional support; Online health community; Sentiment analysis

Indexed keywords

DATA MINING; DISEASES; SOCIAL NETWORKING (ONLINE);

CO-TRAINING; CO-TRAINING ALGORITHM; EMOTIONAL SUPPORTS; ONLINE HEALTH COMMUNITIES; POST CLASSIFICATION; SENTIMENT ANALYSIS; SENTIMENT CLASSIFICATION; SENTIMENT FEATURES;

HEALTH;

EID: 84893312418     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2492517.2492606     Document Type: Conference Paper

References (19)

1. K. J. Petrie and J. A. Weinman, Perceptions of health and illness: Current research and applications, 1997, vol. 1.
2. K. P. Davison, J. W. Pennebaker, and S. S. Dickerson, "Who talks," American Psychologist, vol. 55, no. 2, pp. 205-217, 2000.
3. B. Qiu, K. Zhao, P. Mitra, D. Wu, C. Caragea, J. Yen, G. Greer, and K. Portier, "Get online support, feel better-sentiment analysis and dynamics in an online cancer survivor community," in SocialComm' 11, 2011, pp. 274-281.
4. M. Hu and B. Liu, "Mining and summarizing customer reviews," in SIGKDD '04, ser. KDD '04, 2004, pp. 168-177.
5. V. Stoyanov, C. Cardie, and J. Wiebe, "Multi-perspective question answering using the opqa corpus," in HLT-EMNLP '05, ser. HLT '05. Stroudsburg, PA, USA: ACL, 2005, pp. 923-930.
6. D. Ly, K. Sugiyama, Z. Lin, and M. Kan, "Product review summarization from a deeper perspective," in JCDL, 2011, pp. 311-314.
7. F. Neri, C. Aliprandi, F. Capeci, M. Cuadros, and T. By, "Sentiment analysis on social media," in ASONAM' 12, 2012, pp. 919-926.
8. L. Jiang, M. Yu, M. Zhou, X. Liu, and T. Zhao, "Target-dependent twitter sentiment classification," in HLT '11, vol. 1, 2011, pp. 151-160.
9. B. Pang, L. Lee, and S. Vaithyanathan, "Thumbs up?: sentiment classification using machine learning techniques," in ACL-02, ser. EMNLP '02, Stroudsburg, PA, USA, 2002, pp. 79-86.
10. B. Pang and L. Lee, "A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts," in ACL '04, 2004, p. 271.
11. R. McDonald, K. Hannan, T. Neylon, M. Wells, and J. Reynar, "Structured models for fine-to-coarse sentiment analysis," in ACL '07, vol. 45, 2007, p. 432.
12. X. Wan, "Co-training for cross-lingual sentiment classification," in ACL '09, 2009, pp. 235-243.
13. J. Kumar Pal and A. Saha, "Identifying themes in social media and detecting sentiments," in ASONAM'10, 2010, pp. 452-457.
14. A. Stavrianou, J. Velcin, and J.-H. Chauchat, "Definition and measures of an opinion model for mining forums," in ASONAM'09. IEEE, 2009, pp. 188-193.
15. P. D. Turney, "Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews," in ACL '02, ser. ACL '02, 2002, pp. 417-424.
16. M. Thelwall, K. Buckley, and G. Paltoglou, "Sentiment strength detection for the social web," Journal of the American Society for Information Science and Technology, 2012.
17. A. Blum and T. Mitchell, "Combining labeled and unlabeled data with co-training," in COLT '98, ser. COLT' 98. New York, NY, USA: ACM, 1998, pp. 92-100.
18. M.-F. Balcan, A. Blum, and Y. Ke, "Co-training and expansion: Towards bridging theory and practice," Computer Science Department, p. 154, 2004.
19. M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. Witten, "The weka data mining software: an update," ACM SIGKDD Explorations Newsletter, vol. 11, no. 1, pp. 10-18, 2009.