Difference between revisions of "Class Meeting for 10-802 02/22/2011"

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(Created page with 'This is one of the class meetings on the schedule for the course Social Media Analysis 10-802 in Spring 2011. …')
 
 
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=== Overview ===
 
=== Overview ===
  
* [http://www.cs.cmu.edu/~wcohen/10-802/02-22-textgraph.pptx Slides]
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* [http://www.cs.cmu.edu/~wcohen/10-802/02-22-textgraph.ppt Slides]
  
 
=== Readings ===
 
=== Readings ===
  
* Chang, J., and D. M Blei. 2009. Relational topic models for document networks. In Proc. of Conf. on AI and Statistics (AISTATS’09).
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* Nallapati, R. M, A. Ahmed, E. P Xing, and W. W Cohen. 2008. Joint latent topic models for text and citations. In Proc. of 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
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 +
=== Papers you might present ===
 +
 
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* Hassan, A., D. Radev, J. Cho, and A. Joshi. Content Based Recommendation and Summarization in the Blogosphere. Ann Arbor 1001: 48109.
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* Liu, Yan, Alexandru Niculescu-Mizil, and Wojciech Gryc. 2009. Topic-link LDA: joint models of topic and author community. In Proceedings of the 26th Annual International Conference on Machine Learning, 665-672. Montreal, Quebec, Canada: ACM. doi:10.1145/1553374.1553460. http://portal.acm.org/citation.cfm?id=1553374.1553460.
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* McCallum, A., X. Wang, and N. Mohanty. 2007. Joint group and topic discovery from relations and text. Lecture Notes in Computer Science 4503: 28.

Latest revision as of 17:12, 5 January 2011

This is one of the class meetings on the schedule for the course Social Media Analysis 10-802 in Spring 2011.

Overview

Readings

  • Nallapati, R. M, A. Ahmed, E. P Xing, and W. W Cohen. 2008. Joint latent topic models for text and citations. In Proc. of 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.

Papers you might present

  • Hassan, A., D. Radev, J. Cho, and A. Joshi. Content Based Recommendation and Summarization in the Blogosphere. Ann Arbor 1001: 48109.
  • Liu, Yan, Alexandru Niculescu-Mizil, and Wojciech Gryc. 2009. Topic-link LDA: joint models of topic and author community. In Proceedings of the 26th Annual International Conference on Machine Learning, 665-672. Montreal, Quebec, Canada: ACM. doi:10.1145/1553374.1553460. http://portal.acm.org/citation.cfm?id=1553374.1553460.
  • McCallum, A., X. Wang, and N. Mohanty. 2007. Joint group and topic discovery from relations and text. Lecture Notes in Computer Science 4503: 28.