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Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
book

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

by Gary D. Miner, John Elder, Andrew Fast, Thomas Hill, Robert Nisbet, Dursun Delen
January 2012
Intermediate to advanced
1000 pages
28h 4m
English
Academic Press
Content preview from Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

Introduction

Building the Workshop Manual

Computer scientists, artificial intelligence practitioners, and even physicians are chasing the goal of the intelligent machine in order to understand how humans work and how to fix the problems that vex our lives. The development of text mining technology in computer science is analogous to the discovery of DNA, how it works, and the mapping of the human genome. Gene mapping is aimed at understanding the bewildering complexity of the structure and function of the human body for the (primary) purpose of building the “workshop manual” that will permit us to fix its physical problems and prolong its life. The practice of text mining is aimed at understanding and applying insights from the most complex analytical ...

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Publisher Resources

ISBN: 9780123869791