1C. Marlow. Audience, structure and authority in the weblog community[C]. New orleans: In The 54th Annual Conference of the International Communication Association, 2004.
2Karl - Michael Schneider. A Comparison of Event Models for Naive Bayes Anti - Spare E - Mail Filtering [ C ]. Buelapest, Hungary: Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL' 03), 2003.
5Pranam Kolari et al., Dctecting Spare Blogs: A Machine Learning Approach[C]. Boston, Massachusetts: In Proceedings of the 21st National Conference on Artificial Intelligence (AAAI 2006), 2006.
6Yu- Ru Lin et al., Splog Detection Using Self- similarity Analysis on Blog Temporal Dynamics [ C ]. Banff, Albertu, Canada in Proceedings of AIRWeb 2007, May 8, 2007.
8Yang, Y., Pedersen, J.O., A Comparative Study on Feature Selection in Text Categorization [ C ]. San Francisco Proc. of the 14th International Conference on Machine Learning ICML97,1997:412 - 420.
10Gilad Mishne and Natalie Glance , Leave a Reply: An Analysis of Weblog Comments [ C ]. Edinburgh, scotlamel In Proceedings of the 3rd Annual Workshop on Weblogging Ecosystem: Aggregation, Analysis and Dynamics, 15th World Wid Web Conference, 2006.
7Salton G,Wong A,Yang C Sa. Vector Space Model for Automatic Indexing [J]. Communications of the ACM, 1975,18(5 ) : 613-620.
8Bray T, Paoli J, Sperberg-McQaeen C M, Extcnsible Markup Language (XML) 1,0 Specification [EB/OL]. World Wide Web Consortium Recommendation, http://www.w3.org/TR/REC-xml,1998.
9Lassila O, Swick R R. Resource Description Framework Model and Syntax Specification [ EB/OL]. Workt Wide Web Consortium Recommendation, http ://www. w3. org/TR/REC-rdf-syntax/, 1999.
10Koller D, Sahami M. Hierarchically Classifying Documents Using Very Few Words[J]. ICML'97, 1997, 170-178.
2WAN Xiao-jun. Using bilingual knowledge and ensemble techniques for unsupervised Chinese sentiment analysis[ C]//Proc of Conference on Empirical Methods in Natural Language Processing. 2008:553- 561.
3PANG Be, LEE L. Opinion mining and sentiment analysis [ J ]. Foundations and Trends in Information Retrieval, 2008, 2 (1- 2) :1-135.
4SU Qi, XU Xin-ying, GUO Hong-lei, et al. Hidden sentiment associ- ation in Chinese Web opinion mining[ C ]//Proc of the 17th Interna- tional Conference on World Wide Web. New York: ACM Press, 2008:959 - 968.
5TITOV I, McDONALD R. Modeling online reviews with multi-grain topic models [ C ]//Proc of the 17th International Conference on World Wide Web. New York : ACM Press,2008 : 111- 120.
6CHOI Y, CARDIE C. Learning with compositional semantics as structural inference for subsentential sentiment analysis [ C ]//Proc of Conference on Empirical Methods in Natural Language Processing. 2008 : 793- 801.
7ZHAO Jun, LIU Kang, WANG Gen. Adding redundant features for CRFs-based sentence sentiment classification [ C ]//Proc of Confer- ence on Empirical Methods in Natural Language Processing. 2008: 117-126.
8ZHANG Min, YE Xin-yao. A generation model to unify topic rele- vance and lexicon-based sentiment for opinion retrieval[ C ]//Proc of the 31 st International Conference on Research and Development in In- formation Retrieval. 2008:411-418.
9LIU Bing. Web data mining: exploring hyperlinks, contents and us- age data[ M]. New York: Springer, 2007:441-448.
10HU Min-qing, LIU Bing. Mining and summarizing customer reviews [ C ]//Proc of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2004 : 165-177.