Difference between revisions of "Class Meeting for 10-802 10/23/2012"

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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 Fall 2012. ===…')
 
 
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=== Overview ===
 
=== Overview ===
  
* [http://www.cs.cmu.edu/~wcohen/10-802/10-23-textgraph-I.ppt Slides]
+
 
 +
* [http://www.cs.cmu.edu/~wcohen/10-802/10-23-textgraph.ppt Slides in PPT]
 +
* [http://www.cs.cmu.edu/~wcohen/10-802/10-23-textgraph.pdf Slides in PDF]
  
 
=== Readings ===
 
=== Readings ===
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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.
 
* 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 ===
+
=== Papers you might review ===
  
 
* Hassan, A., D. Radev, J. Cho, and A. Joshi. Content Based Recommendation and Summarization in the Blogosphere. Ann Arbor 1001: 48109.
 
* 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.
 
* 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.
 
* McCallum, A., X. Wang, and N. Mohanty. 2007. Joint group and topic discovery from relations and text. Lecture Notes in Computer Science 4503: 28.
 +
* Chang, J., and D. M Blei. 2009. Relational topic models for document networks. In Proc. of Conf. on AI and Statistics (AISTATS’09).
 +
* Chang, J., J. Boyd-Graber, and D. M Blei. 2009. Connections between the lines: augmenting social networks with text. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, 169–178.
 +
* Wang, X., L. Tang, H. Gao, and H. Liu. n.d. Discovering Overlapping Groups in Social Media.  ICDM 2010.
 +
* Dietz, L. 2010. Inferring Shared Interests from Social Networks. In NIPS Workshop on Computational Social Science and the Wisdom of Crowds.
 +
* Elson, D. K, N. Dames, and K. R McKeown. 2010. Extracting social networks from literary fiction. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, 138–147.
 +
* Lin, C. X, B. Zhao, Q. Mei, and J. Han. 2010. PET: a statistical model for popular events tracking in social communities. In Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, 929–938.
 +
* Lu, C., X. Hu, X. Chen, J. R Park, T. T He, and Z. Li. 2010. The topic-perspective model for social tagging systems. In Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, 683–692.
 +
* Paul, Michael J, ChengXiang Zhai, and Roxana Girju. 2010. Summarizing contrastive viewpoints in opinionated text. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 66–76. EMNLP '10. Stroudsburg, PA, USA: Association for Computational Linguistics. http://portal.acm.org/citation.cfm?id=1870658.1870665.
 +
* [[ Rao, D., D. Yarowsky, A. Shreevats, and M. Gupta. 2010. Classifying latent user attributes in twitter. In Proceedings of the 2nd international workshop on Search and mining user-generated contents, 37–44. ]]
 +
* Efron, M. 2004. Cultural orientation: Classifying subjective documents by cociation analysis. In AAAI Fall Symposium on Style and Meaning in Language, Art, and Music.

Latest revision as of 11:38, 25 October 2012

This is one of the class meetings on the schedule for the course Social Media Analysis 10-802 in Fall 2012.

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 review

  • 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.
  • Chang, J., and D. M Blei. 2009. Relational topic models for document networks. In Proc. of Conf. on AI and Statistics (AISTATS’09).
  • Chang, J., J. Boyd-Graber, and D. M Blei. 2009. Connections between the lines: augmenting social networks with text. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, 169–178.
  • Wang, X., L. Tang, H. Gao, and H. Liu. n.d. Discovering Overlapping Groups in Social Media. ICDM 2010.
  • Dietz, L. 2010. Inferring Shared Interests from Social Networks. In NIPS Workshop on Computational Social Science and the Wisdom of Crowds.
  • Elson, D. K, N. Dames, and K. R McKeown. 2010. Extracting social networks from literary fiction. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, 138–147.
  • Lin, C. X, B. Zhao, Q. Mei, and J. Han. 2010. PET: a statistical model for popular events tracking in social communities. In Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, 929–938.
  • Lu, C., X. Hu, X. Chen, J. R Park, T. T He, and Z. Li. 2010. The topic-perspective model for social tagging systems. In Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, 683–692.
  • Paul, Michael J, ChengXiang Zhai, and Roxana Girju. 2010. Summarizing contrastive viewpoints in opinionated text. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 66–76. EMNLP '10. Stroudsburg, PA, USA: Association for Computational Linguistics. http://portal.acm.org/citation.cfm?id=1870658.1870665.
  • Rao, D., D. Yarowsky, A. Shreevats, and M. Gupta. 2010. Classifying latent user attributes in twitter. In Proceedings of the 2nd international workshop on Search and mining user-generated contents, 37–44.
  • Efron, M. 2004. Cultural orientation: Classifying subjective documents by cociation analysis. In AAAI Fall Symposium on Style and Meaning in Language, Art, and Music.