Community discovery and sentiment mining for Chinese BLOG

Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010

Volumn 4, Issue , 2010, Pages 1740-1745

  Yang, Hui ^a   Yang, Bin ^a   Zhou, Xu ^a   Zhou, Chunguang ^a   Wang, Zhe ^a   Chai, Zhou ^b  

^a JILIN UNIVERSITY   (China)

^b CHINA UNICOM RESEARCH INSTITUTE   (China)

Author keywords

Community discovery; Feature abstract; Sentiment analysis; Text mining

Indexed keywords

COMMUNITY DISCOVERY; COMMUNITY MINING; CONTINUOUS EVALUATIONS; EXISTING METHOD; FEATURE ABSTRACT; LIFE STYLES; NETWORK TECHNOLOGIES; REAL-TIME UPDATES; SENTIMENT ANALYSIS; TEXT MINING; TREND MODEL;

ABSTRACTING; DATA MINING; FUZZY SETS; INTERNET; MINING;

BLOGS;

EID: 78649278512     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FSKD.2010.5569402     Document Type: Conference Paper

References (22)

1. Chen,Y., Tsai, F.s., and Chan, K.L. Machine learning techniques for business blog search and mining. Expert Systems with Application, 35(3), pages 581-590,2008
2. Kuan, S.T.,Wu, B.Y.,and Lee, W.J. Finding friend groups in blogsphere. //Proc of the 22nd international conference on advanced information networking and applications-workshops(AINAW 2008) pages1046-1050, 2008
3. Lin, Y.R., Sundaram, H.,Tseng,B., Chi Y. and Tatemura, J. Blog community discovery and evolution based on mutual awareness expansion //proc of the IEEE/WIC/ACM international conference on webintelligence pages 48-56,2007
4. Mishne, G., Glance, N. Predicting movie sales from blogger sentiment. Paper presented at the AAAI 2006 Spring Symposium on Computational Approaches to Analysing Weblogs, Stanford, CA,2006
5. J. Allan, R. Papka, and V. Lavrenko. On-line new event detection and tracking. In Proceedings of the 21st ACM-SIGIR International Conference on Research and Development in Information Retrieval, pages 37-45, August 1998
6. Y. Yang, T. Pierce and J. Carbonell. A study on retrospective and online event detection. In Proceedings of SIGIR-98, 21st ACM International Conference on Research and Development in Information Retrieval, pages 28-36, Melbourne, AU, 1998
7. R. C. Swan and J. Allan. Extracting significant time varying features from text. In CIKM, pages 38-45, 1999
8. Qingliang Miao and Qiudan Li. A sentiment mining and retrieval system.Expert system with application 36, 7192-7198 2009
9. Bo Pang, Lillian Lee, and Shrvakumar Varthyanathan,"Thumbs up? Sentiment Classification using Machine Learning Techniques" //Proc of the 2002 Conference on Empirical Methods in Natural Language Processing(EMNLP'2002), 2002
10. Turney P. Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews[C]//Proc of the 40th Annual Meeting of the Association for Computational Linguistics. New York:ACM. pages:417-424, 2002
11. T. Zagibalov and J. Carroll. Unsupervised Classification of sentiment and Objectivity in Chinese Text // Proc of the Third International Joint Conference on Natural Language Processing IJCNLP, 2008
12. Yuen, R.W.M., Chan, T.Y.W., Lai, T.B.Y., Kwong, O.Y., T'sou, B.K.Y. Morpheme-based derivation of bipolar sentiment orientation of Chinese words. In Proceedings of the 20th International Conference on Computational Linguistics, 1008, East Stroudsburg, 2004
13. Tsou, B, K. Y., Yuen, R. W. M., Kwong, O. Y., Lai, T.B.Y., & Wong, W. L. Polarity classification of celebrity coverage in the Chinese press. Paper presented at the International Conference on Intelligence Analysis, Vienna, VA, 2005
14. Ye, Q., Shi, W., Li, Y. Sentiment classification for movies reviews in Chinese by improved semantic oriented approach. In HICSS'06: Proceedings of the 39th Annual Hawaii International Conference on System Sciences 53.2 2006
15. B. Liu, W. Hsu, Y. Ma. Integrating Classification and Association Rule Mining. KDD-98, 1998
16. M.E.J.Newman. Fast algorithm for detecting community strcture in networks. Phys Rev E Stat Nonlin Soft Matter Phys, 2004
17. Turney, P. D., & Littman, M.L. Measuring praise and criticism: Inference of semantic orientation form association. ACM Transactions on Information Systems, 21(4), 315-346, 2003
18. Wiebe, J., Bruce, R., &O'Hara, T.P. Development and use of a gold standard data set for subjectivity classifications. In Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics on Computational Linguistics. 246-253, East Stroudsburg, 1999
19. Yu, H., Hatzivassiloglou, V. Towards answering opinion questions: separating facts from opinions and identifying the polarity of opinion sentence. Paper presented at the Conference on Empirical Methods in Natural Language Processing, 2003
20. Meena, A., Prabhakar, T.V. Sentence level sentiment analysis in the presence of conjuncts using linguistic analysis. In Proceedings of the European Conference on IR Research. Lecture Notes in Computer Science, 4425, 573-580, 2007
21. McDonald, R., Hannan, K., Neylon, T., Wells, M., reynar, J. Structured models for fine-to-coarse sentiment analysis. In Proceedings of the Asscoiation for Computational Linguistics, 432-439. 2007
22. Hownet, http://www.keenage.com/html/e-index.html