Text Mining
eBook - PDF

Text Mining

Classification, Clustering, and Applications

  1. 328 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Text Mining

Classification, Clustering, and Applications

About this book

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 Economics & Statistics for Business & Economics. We have over one million books available in our catalogue for you to explore.

Table of contents

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