Applying link-based classification to label blogs

Joint Ninth WebKDD and First SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis

Volumn , Issue , 2007, Pages 92-101

  Bhagat, Smriti ^a   Rozenbaum, Irina ^a   Cormode, Graham ^a  

^a NONE

Author keywords

Graph labeling; Relational learning; Social networks

Indexed keywords

ABSTRACTING; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL METHODS; LEARNING SYSTEMS; PROBLEM SOLVING; TELECOMMUNICATION LINKS;

BLOG DATA SETS; GRAPH LABELING; RELATIONAL LEARNING; SOCIAL NETWORKS;

WEBSITES;

EID: 43449096369     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1348549.1348560     Document Type: Conference Paper

References (26)

1. L. A. Adamic and N. Glance. The political blogosphere and the 2004 U.S. election: divided they blog. In Intl. Workshop on Link Discovery (LinkKDD), pages 36-43, 2005.
2. A.Van Assche, C. Vens, H. Blockeel, and S. Džeroski. A random forest approach to relational learning. In Workshop on Statistical Relational Learning, 2004.
3. S. Bhagat, G. Cormode, S. Muthukrishnan, I. Rozenbaum, and H. Xue. No blog is an island - analyzing connections across information networks. In Intl. Conference on Weblogs and Social Media, 2007.
4. J. D. Burger and J. C. Henderson. Barely legal writers: An exploration of features for predicting blogger age. In AAAI Spring Symposium on Computational Approaches to Analyzing Weblogs, 2006.
5. S. Chakrabarti, B. Dom, and P. Indyk. Enhanced hypertext categorization using hyperlinks. In ACM SIGMOD, 1998.
6. P. Domingos and M. Richardson. Markov logic: A unifying framework for statistical relational learning. In Workshop on Statistical Relational Learning, 2004.
7. L. Getoor, N. Friedman, D. Koller, and B. Taskar. Learning probabilistic models of link structure. Journal of Machine Learning Research, 3:679-707, 2002.
8. J. Hu, H.-J. Zeng, H. Li, C. Niu, and Z. Chen. Demographic prediction based on user's browsing behavior. In Intl. World. Wide Web Conference, 2007.
9. P. Indyk and R. Motwani. Approximate nearest neighbors: Towards removing the curse of dimensionality. In STOC, 1998.
10. Q. Lu and L. Getoor. Link-based classification. In Intl. Conference on Machine Learning, 2003.
11. I. MacKinnon and R. H. Warren. Age and geographic inferences of the LiveJournal social network. In Statistical Network Analysis Workshop, 2006.
12. S. A. Macskassy and F. Provost. A simple relational classifier. In Workshop on Multi-Relational Data Mining, 2003.
13. M. McPherson, L. Smith-Lovin, and J. M. Cook. Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27:415-144, 2001.
14. G. Mishne. Experiments with mood classification in blog posts. In Workshop on Stylistic Analysis of Text for Information Access, 2005.
15. J. Neville and D. Jensen. Iterative Classification in Relational Data. In Workshop on Learning Statistical Models from Relational Data, 2000.
16. J. Neville, D. Jensen, L. Friedland, and M. Hay. Learning relational probability trees. In ACM Conference on Knowledge Discovery and Data Mining (SIGKDD), 2003.
17. H. Qu, A. L. Pietra, and S. Poon. Classifying blogs using NLP: Challenges and pitfalls. In AAAI Spring Symposium on Computational Approaches to Analyzing Weblogs, 2006.
18. J. Schier, M. Koppel, S. Argamon, and J. Pennebaker. Effects of age and gender on blogging. In AAAI Spring Symposium on Computational Approaches to Analyzing Weblogs, 2006.
19. B. Taskar, P. Abbeel, and D. Koller. Discriminative probabilistic models for relational data. In Conference on Uncertainty in Artificial Intelligence, 2002.
20. I. H. Witten and E. Frank. Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann, 2005.
21. J. Yedidia, W. Freeman, and Y. Weiss. Generalized belief propagation. In Neural Information Processing Systems, 2000.
22. T. Zhang, A. Popescul, and B. Dom. Linear prediction models with graph regularization for web-page categorization. In ACM Conference on Knowledge Discovery and Data Mining (SIGKDD), 2006.
23. D. Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Schölkopf. Learning with local and global consistency. In Neural Information Processing Systems, 2004.
24. D. Zhou, J. Huang, and B. Schölkopf. Learning from labeled and unlabeled data on a directed graph. In Intl. Conference on Machine Learning, pages 1041-1048, 2005.
25. X. Zhu. Semi-supervised learning literature survey. Technical report, Computer Sciences, University of Wisconsin-Madison, 2006.
26. X. Zhu, Z. Ghahramani, and J. Lafferty. Semi-supervised learning using Gaussian fields and harmonic functions. In Intl. Conference on Machine Learning, 2003.