PPT-Text Mining

CSE HKUST March 27 Recap What have we done for the project Phase I Data Collection Collect data from the Web at least 4 data sources Parse the data using different tool Design . Hongning Wang. CS@UVa. Today’s lecture. k. -means clustering . A typical . partitional. . clustering . algorithm. Convergence property. Expectation Maximization algorithm. Gaussian mixture model. . Text Mining and Analytics. Fall 2015/16. 3. . Word Association. What is . Word Association. ?. Word association is a relation that exists between two words.. There are two types . of relations: Paradigmatic . Opportunities and Barriers. John . McNaught. Deputy Director. National Centre for Text Mining. John.McNaught@manchester.ac.uk. Topics. What is text mining? (briefly). What can it offer? (selectively). Subproblems. . Meliha. . Yetisgen-Yildiz. From last week’s discussion. Presentation. Schedule. : . http. ://faculty.washington.edu/melihay/. MEBI591C.htm. 50 . minutes . presentation+discussion+question. ™. XML for Mining-. One Cross-Publisher Initiative to Empower Text Mining. . Roy S Kaufman, Managing Director, New Ventures, CCC. t. Copyright, simplified. Remove this. Global content and licensing solutions that make copyright work for everyone. How to represent a document. Represent by a string?. No semantic meaning. Represent by a list of sentences?. Sentence is just like a short document (recursive definition). CS@UVa. CS 6501: Text Mining. Information Retrieval. Information Retrieval. Konsep. . dasar. . dari. IR . adalah. . pengukuran. . kesamaan. sebuah. . perbandingan. . antara. . dua. . dokumen. , . mengukur. . sebearapa. . with an . Eclipse . Attack. With . Srijan. Kumar, Andrew Miller and Elaine Shi. 1. Kartik . Nayak. 2. Alice. Bob. Charlie. Emily. Blockchain. Bitcoin Mining. Dave. Fairness: If Alice has 1/4. th. computation power, she gets 1/4. Mia Stephens – . mia.stephens@jmp.com. What is JMP (and JMP Pro)?. Statistical Discovery Software from SAS. Developed in 1989. For teaching and doing. Comprehensive. Basic. Advanced. Extendible. powerful scripting language. What Is . T. ext . M. ining?. Also known as . Text Data Mining. Process of . examining large collections of . unstructured. textual . resources in order to generate new information, typically using specialized computer software. Solution. Low rank matrix approximation. Imagine this is our observed term-document matrix. Imagine this is *true* concept-document matrix. Random noise over the word selection in each document. CS@UVa. Other information:. Insert shul logo here. Time:. Date:. Address:. @ShabbatUK. @shabbat_uk. Shabbat_uk_official. www.shabbatuk.org. getinvolved@shabbatuk.org. Insert shul logo here. Event Title. Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event. Text 2. Text 3. Text 4. Text 5. Text 6. Text 7. Text 8. Text 9. Text 10. Text 11. Text 12. Text 13. Text 14. Text 15. Text 16. Text 17. Erbauer: . Max Mustermann (Ort). Bauzeit: xx Wochen. Steine: ca. 10.000. April 15th