| Date | Topic | Readings | Notes | |
|---|---|---|---|---|
| 1/16 Wed | Course policies (ppt) ; Overview of Text Management (ppt) | Bush 45 | ||
| 1/18 Fri | Basic Prob. & Statistics (ppt; pdf; note) | Rosenfeld's note on estimation | ||
| 1/23 Wed | Essential Information Theory (ppt; pdf; note) | Rosenfeld's note on information theory | ||
|
Understanding Text Information: Natural Language Processing |
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| 1/25 Fri | Introduction to NLP ( ppt; pdf; note) | |||
| 1/30 Wed | Statistical language models (ppt; pdf; note) | Rosenfeld 00 | Assign #1 out | |
|
Accessing Text Information: Retrieval and Filtering |
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| 2/1 Fri | Text Retrieval Overview (ppt; pdf; note) | Singhal's review (Error), Book-Ch8. TREC measures | ||
| 2/6 Wed | Vector-Space Retrieval Model I (ppt; pdf; note) | Review of IR models; Book-Ch6; Book-Ch7; Zobel & Moffat 98 | ||
| 2/8 Fri | Vector-Space Retrieval Model II (ppt; pdf; note) | Book-Ch9 | ||
| 2/13 Wed | Implementation Issues and TR systems (ppt; pdf; note) | Book-Ch1-5 | Assign #1 due; Assign #2 out | |
| 2/15 Fri | Vector Space Model III (ppt; pdf; note) | Book-Ch9 | ||
| 2/20 Wed | Language Models for Text Retrieval (ppt; pdf; note) | Book-Ch11-12 ; Zhai & Laffert 04; LM-IR Tutorial | ||
| 2/22 Fri | Feedback in Language Models I (ppt; pdf; note) | Zhai & Lafferty 01 Note on KL-div Retrieval Model; | ||
| 2/27 Wed | Feedback in Language Models II (ppt ;pdf ; note) | Zhai & Lafferty 01 Note on EM ; LM-IR Tutorial | Assign #2 due; Assign #3 out | |
| 2/29 Fri | Web search engines (ppt; pdf; note ) | Book-Ch19-21 PageRank; Computation of PageRank; | ||
| 3/5 Wed | Web search engines (ppt; pdf; note ) | Book-Ch19-21 PageRank; Computation of PageRank; | ||
| 3/7 Fri | Information Filtering (ppt; pdf;note ) | Breese et al. 1998; Zhai et al. 98 | ||
| 3/12 Wed | Project Topic Discussion (ppt) | Sample project topics | Assign #3 due | |
| 3/14 Fri | Midterm Exam (in class, closed book) | Topics ; sample from last year and solutions | Extra credit Facebook assignment out | |
|
Organizing and Mining Text Information: Categorization, Clustering, and Extraction |
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| 3/19 Wed | Spring Break | |||
| 3/21 Fri | Spring Break | |||
| 3/26 Wed |
Probabilistic topic models I Guest lecture by Qiaozhu Mei (ppt) |
Zhai et al. 04 | Assign #4 out; Project proposal due | |
| 3/28 Fri | Probabilistic Topic Models II Guest lecture by Qiaozhu Mei (ppt) |
Zhai et al. 04; PLSA note | ||
| 4/2 Wed | Applications of Retrieval Techniques (ppt) | Book-Ch13-17 | ||
| 4/4 Fri | Text Categorization (ppt) | Sebastiani's survey Book-Ch13-Ch15 | Assign #5 out; | |
| 4/9 Wed | Clustering (ppt) | Book-Ch16-Ch18 | Assign #4 due | |
| 4/11 Fri | Hidden Markov Models (ppt) | Rabiner 89 , A brief note | ||
| 4/16 Wed | Hidden Markov Models (ppt) | Rabiner 89 , A brief note | Facebook assignment survey form due | |
| 4/18 Fri | User Interface and Visualization (ppt) | Hearst's book chapter | Assign #5 due | |
| 4/23 Wed | Course Summary (ppt) | |||
| 4/25 Fri | Project Presentation I (Schedule) | Guidelines on Presentation | ||
| 4/30 Wed | Project Presentation II (Schedule) | Guidelines on Presentation | ||
| 5/1 Thu | Reading Day | 5/7 Wed | Project report due ; Literature review due | |