1. 2010 © University of Michigan 1 Text Retrieval and Data Mining in SI - An Introduction Qiaozhu Mei School of Information Computer Science and Engineering University of Michigan qmei@umich.edu

2. 2010 © University of Michigan Challenge of Data Mining 2 Published Content: 3-4G/day User generated data: 8-10G/day Private text data: 3T/day - Ramakrishnan and Tomkins 2007

3. 2010 © University of Michigan What do We Do in this Battle? 3 Crowd Context Content Social networks Online communities Academic networks Information networks time location authorship sentiments impact event Topics User Query logs Social bookmarks Scientific Literature News articles blogs tweets Web pages Social media EHR Contextual Text Mining Social Data Mining Information Retrieval Social Network Mining Health Informatics Bioinformatics Statistical Topic Modeling Web Search

4. 2010 © University of Michigan Personalization v.s. Diversification 4 MSR PageRank Mountain Safety Research + MSR Tents + MSR Wheels + Microsoft Research …  ? Personalized Rank Microsoft Research + Microsoft Research Redmond + Microsoft Research Asia … ? Diverse Rank Mountain Safety Research + Microsoft Research + Metropolis Street Racer … ? - Joint work with Jian Guo, Qian Zhen

5. 2010 © University of Michigan 5 Hot Topics in SIGMOD Topic Evolution and Trends What’s hot in literature/twitter?

6. 2010 © University of Michigan 6 One Week Later Modeling Spatiotemporal Topic Diffusion How does discussion spread? Topic = “government response in hurricane Katrina”

7. 2010 © University of Michigan 7 Tom Hanks, who is my favorite movie star act the leading role. protesting... will lose your faith by watching the movie. a good book to past time.... so sick of people making such a big deal about a fiction book The Da Vinci Code Summarizing and Tracking Opinions What is good and what is bad? Blogs; customer reviews

8. 2010 © University of Michigan 8 Information retrieval community Machine learning community Data mining community Social/Academic Network Topical Community Detection Who works together on what? Text Content

9. 2010 © University of Michigan Thanks! 9 -Joint work with Cheng Zhai, Ken Church, Bruce Schatz, Ravi Kumar, Andrew Tomkins, Denny Zhou, Jian Guo, Qian Zhen, Xu Ling, Duo Zhang, Deng Cai, Dong Xin, Chao Liu...