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
Foreword 1
FOREWORD No. 1: for “Practical Text Mining and Statisticall Analysis for Non-structured Text Data Applicationsns” from the viewpoint of a person trained and having a life-long internationally noted career in traditional statistics, especially Discriminant Analysis and the Jackknife procedure, and Co-Author Gary Miner’s mentor in statistical analysis:
Text mining and analysis is a new area of research that is less than 15 years old. So we can expect new editions of this book as the field matures. This book concerns the topics of extracting information from text and finding interesting patterns in the results. The book covers working with text documents. The introduction explains that the Library of Congress has many “documents” that ...
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