PPT-Text Mining

Author : liane-varnes | Published Date : 2017-07-28

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

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Text Mining" is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Text Mining: Transcript

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 . 1. Overview . This presentation is for chapter 16 which discuss :. Chapter . 16: Text Mining for Translational . Bioinformatics. 1- terminologies.. 2- definitions.. 2-uses cases and applications.. 3-evaluation techniques and evaluation metrics.. 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). Tagging & Sequence Labeling. Hongning Wang. CS@UVa. What is POS . t. agging. Raw Text. Pierre . Vinken. , 61 years old , will join the board as a nonexecutive director Nov. 29 .. Pierre_. NNP. . Subproblems. . Meliha. . Yetisgen-Yildiz. From last week’s discussion. Presentation. Schedule. : . http. ://faculty.washington.edu/melihay/. MEBI591C.htm. 50 . minutes . presentation+discussion+question. AD103 - Friday, 3pm-4pm. Ben . Langhinrichs. President of Genii Software. Introduction. Ben Langhinrichs, Genii Software. When I am not developing software, I write children’s books and draw pictures.. Presentation by:. ABHISHEK KAMAT. ABHISHEK MADHUSUDHAN. SUYAMEENDRA WADKI. 1. Introduction. Mining the data to find interesting patterns, useful insights, customer data and their relationship - data mining . “The . word cloud . technique . first originated online in the 1990s as tag clouds (famously described as “the mullets of the . Internet”), . which were used to display the popularity of keywords in bookmarks. Cases . and Capabilities. Dec 8, 2016. Kayvis Damptey. Jie Zhang. What is Text Mining?. Text Mining uses documents to identify insightful patterns within the text. Thus allowing managers to summarize/organize huge collections of documents and automate detection based on useful linguistic patterns.. 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. Diane Litman. Professor, Computer Science Department . Senior Scientist, Learning Research & Development Center . Co-Director, Intelligent Systems Program. University of Pittsburgh. Pittsburgh, . CS@UVa. Today’s lecture. Support vector machines. Max margin classifier. Derivation of linear SVM. Binary and multi-class cases. Different types of losses in discriminative models. Kernel method. Non-linear SVM. April 15th http://www.cs.uic.edu/~. liub. CS583, Bing Liu, UIC. 2. General Information. Instructor: Bing Liu . Email: liub@cs.uic.edu . Tel: (312) 355 1318 . Office: SEO 931 . Lecture . times: . 9:30am-10:45am.

Download Document

Here is the link to download the presentation.
"Text Mining"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.