'Processing text' diaporamas de présentation

Problem definition

Text Mining, Information and Fact Extraction Part 3: Machine Learning Techniques (continued) Marie-Francine Moens Department of Computer Science Katholieke Universiteit Leuven, Belgium sien.moens@cs.kuleuven.be. Problem definition.

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What is Text Mining? What are the application areas? What are the challenges? What are the tools?

What is Text Mining? What are the application areas? What are the challenges? What are the tools?. Why Text Mining?. Adapted from Text Mining : Finding Nuggets in Mountains of Textual Data. Prelude. Amount of information is growing exponentially

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Handout # 11: Spam, Phishing, and Fraud in Internet

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Document (Text) Visualization

Document (Text) Visualization. Mao Lin Huang. Paper Outline. Introduction Visualizing text Visualization transformations: from text to pictures Examples from the MVAB Project Conclusions and directions for future research and development. Introduction. Current Visualization approaches

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J. A. Wise, J.J. Thomas, K. Pennock, D. Lantrip, M. Pottier, A. Schur, and V. Crow

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EMACS

To quote the Emacs Manual: Emacs is the extensible, customizable, self-documenting real-time display editor.

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DLSI Lexical Analysis

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