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CONTENTS
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Synopsis:
An extension of data mining, text mining involves the extraction of information and knowledge from unstructured text. This constantly evolving field is increasingly used by major corporations, such as Google, Yahoo, and Microsoft.
Table Of Contents:
1 Analysis of Text Patterns Using Kernel Methods
2 Detection of Bias in Media Outlets with Statistical Learning Methods
3 Collective Classification for Text Classification
4 Topic Models
5 Nonnegative Matrix and Tensor Factorization for Discussion Tracking
6 Text Clustering with Mixture of von Mises-Fisher Distributions
7 Constrained Partitional Clustering of Text Data: An Overview
8 Adaptive Information Filtering
9 Utility-Based Information Distillation
10 Text Search-Enhanced with Types and Entities
Product Details:
* ISBN: 1420059408
* ISBN-13: 9781420059403
* Format: Hardcover, 328pp
* Publisher: Taylor & Francis, Inc.
* Pub. Date: June 2009
* Edition Number: 1
