PPT-Beyond Search: Statistical Topic Models for Text Analysis

ChengXiang Zhai Department of Computer Science University of Illinois at UrbanaChampaign httpwwwcsuiuceduhomesczhai 1 Search is a means to the end of finishing a task Decision Making. Aviation Safety Data Analysis System. Fangbo Tao, . Xiao Yu, . Jiawei. . Han. 08. /. 1. 0. /. 13. The data we focus:. Huge Collection of Logs. Following . a normal approach and landing to runway 4 in roc; aircraft was taxied clear of the end of runway to the gate .several ground snow removal vehicles were operating to left of aircraft so we moved to the right side of . Rochelle Terman. Social Computing Working Group. Feb 27, 2015. https://github.com/rochelleterman/worlds-women. Lifecycle. Frame research question. Acquire text data. Preprocess. Analyze. Visualize + Interpret. Web Search Ranking. Jianfeng Gao. Natural language processing, MSR. July 22, 2011. Who should be here?. Interested . in statistical . machine translation and Web search ranking. Interested in modeling technologies. 楊立偉教授. 台灣科大資管系. wyang@ntu.edu.tw. 本投影片修改自. Introduction to Information Retrieval. 一書之投影片 . Ch. 20 & 21. 1. More topics. Ads and search engine optimization. Source: “Topic models”, David . Blei. , MLSS ‘09. Topic modeling - Motivation. Discover topics from a corpus . Model connections between topics . Model the evolution of topics over time . Image annotation. 楊立偉教授. 台灣科大資管系. wyang@ntu.edu.tw. 本投影片修改自. Introduction to Information Retrieval. 一書之投影片 . Ch. 20 & 21. 1. More topics. Ads and search engine optimization. Padhraic Smyth. Department of Computer Science. University of California, Irvine . . Progress Report. New deadline. In class, Thursday February 18. th. (not Tuesday). Outline. 3 to 5 pages maximum. for Computer Experiments. Habilitation . à. . Diriger. des . Recherches. Olivier ROUSTANT. Ecole des Mines de St-Etienne. 8. th. November 2011. Outline. Foreword. Computer . Experiments. : . Industrial. THOMAS FUNKHOUSER, PATRICK MIN, MICHAEL KAZHDAN, JOYCE CHEN,. ALEX HALDERMAN, and DAVID DOBKIN. Princeton University. and. DAVID JACOBS. NEC Research Institute. ACM Transactions on Graphics, Vol. 22, No. 1, January 2003, Pages 83–105.. An Analysis of Statistical Models and Features for Reading Difficulty Prediction Michael Heilman, Kevyn Collins-Thompson, Maxine Eskenazi Language Technologies Institute Carnegie Mellon University 1 The Goal: To predict the readability of a page of text. An Analysis of Statistical Models and Features for Reading Difficulty Prediction Michael Heilman, Kevyn Collins-Thompson, Maxine Eskenazi Language Technologies Institute Carnegie Mellon University 1 The Goal: To predict the readability of a page of text. Predictively Modeling Social Text William W. Cohen Machine Learning Dept. and Language Technologies Institute School of Computer Science Carnegie Mellon University Joint work with : Amr Ahmed, Andrew Arnold, Ramnath Balasubramanyan, Frank Lin, Matt Hurst (MSFT), Ramesh Nallapati, Noah Smith, Eric Xing, Tae Yano MURI Project: University of California, Irvine. Project Meeting. August 25. th. 2009. . Principal Investigator: Padhraic Smyth . . Goals for Today’s Meeting. Introductions and brief review of our project. 1 | Page 637 Salvi a Lane, Guilderland, NY 12303 845 - 233 - 1029 ktcuko@gmail.com EDUCATION • Ph.D. , ( A.B.D ) , Department of Mathematics and Statistics ; State University of New York, Al