The Definitive Resource on Text Mining Theory and Applications from Foremost Researchers in the FieldGiving a broad perspective of the field from numerous vantage points, Text Mining: Classification, Clustering, and Applications focuses on statistical methods for text mining and analysis. It examines methods to automatically cluster and classify te

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Yes, you can access Text Mining by Ashok N. Srivastava, Mehran Sahami, Ashok N. Srivastava, Mehran Sahami in PDF and/or ePUB format, as well as other popular books in Économie & Statistiques pour les entreprises et l'économie. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Chapman and Hall/CRC

Year

2009

ISBN

9781420059458

Edition

Topic

Économie

Subtopic

Statistiques pour les entreprises et l'économie

Cover
Title
Copyright
Contents
List of Figures
List of Tables
Introduction
About the Editors
Contributor List
Chapter 1: Analysis of Text Patterns Using Kernel Methods
Chapter 2: Detection of Bias in Media Outlets with Statistical Learning Methods
Chapter 3: Collective Classification for Text Classification
Chapter 4: Topic Models
Chapter 5: Nonnegative Matrix and Tensor Factorization for Discussion Tracking
Chapter 6: Text Clustering with Mixture of von Mises-Fisher Distributions
Chapter 7: Constrained Partitional Clustering of Text Data: An Overview
Chapter 8: Adaptive Information Filtering
Chapter 9: Utility-Based Information Distillation
Chapter 10: Text Search-Enhanced with Types and Entities
Index