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Barry DeVille - Text as Data: Computational Methods of Understanding Written Expression Using SAS (Wiley and SAS Business Series)

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Text As Data: Combining qualitative and quantitative algorithms within the SAS system for accurate, effective and understandable text analytics

The need for powerful, accurate and increasingly automatic text analysis software in modern information technology has dramatically increased. Fields as diverse as financial management, fraud and cybercrime prevention, Pharmaceutical R&D, social media marketing, customer care, and health services are implementing more comprehensive text-inclusive, analytics strategies. Text as Data: Computational Methods of Understanding Written Expression Using SAS presents an overview of text analytics and the critical role SAS software plays in combining linguistic and quantitative algorithms in the evolution of this dynamic field.

Drawing on over two decades of experience in text analytics, authors Barry deVille and Gurpreet Singh Bawa examine the evolution of text mining and cloud-based solutions, and the development of SAS Visual Text Analytics. By integrating quantitative data and textual analysis with advanced computer learning principles, the authors demonstrate the combined advantages of SAS compared to standard approaches, and show how approaching text as qualitative data within a quantitative analytics framework produces more detailed, accurate, and explanatory results.

  • Understand the role of linguistics, machine learning, and multiple data sources in the text analytics workflow
  • Understand how a range of quantitative algorithms and data representations reflect contextual effects to shape meaning and understanding
  • Access online data and code repositories, videos, tutorials, and case studies
  • Learn how SAS extends quantitative algorithms to produce expanded text analytics capabilities
  • Redefine text in terms of data for more accurate analysis

This book offers a thorough introduction to the framework and dynamics of text analyticsand the underlying principles at workand provides an in-depth examination of the interplay between qualitative-linguistic and quantitative, data-driven aspects of data analysis. The treatment begins with a discussion on expression parsing and detection and provides insight into the core principles and practices of text parsing, theme, and topic detection. It includes advanced topics such as contextual effects in numeric and textual data manipulation, fine-tuning text meaning and disambiguation. As the first resource to leverage the power of SAS for text analytics, Text as Data is an essential resource for SAS users and data scientists in any industry or academic application.

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Table of Contents List of Tables Chapter 1 Chapter 2 Chapter 3 Chapter - photo 1
Table of Contents
List of Tables
  1. Chapter 1
  2. Chapter 2
  3. Chapter 3
  4. Chapter 4
  5. Chapter 5
  6. Chapter 6
  7. Chapter 7
  8. Chapter 8
  9. Appendix A
List of Illustrations
  1. Chapter 1
  2. Chapter 2
  3. Chapter 3
  4. Chapter 4
  5. Chapter 5
  6. Chapter 6
  7. Chapter 7
  8. Chapter 8
  9. Appendix A
  10. Appendix B
Guide
Pages
Wiley and SAS Business Series

The Wiley and SAS Business Series presents books that help senior level managers with their critical management decisions.

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  • Text as Data: Computational Methods of Understanding Written Expression Using SAS by Barry deVille and Gurpreet Singh Bawa
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For more information on any of the above titles, please visit www.wiley.com.

Text as Data
Computational Methods of Understanding Written Expression Using SAS

By

Barry deVille and

Gurpreet Singh Bawa

Text as Data Computational Methods of Understanding Written Expression Using SAS Wiley and SAS Business Series - image 2

Copyright 2022 by John Wiley & Sons, Inc. All rights reserved.

Published by John Wiley & Sons, Inc., Hoboken, New Jersey.

Published simultaneously in Canada.

No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 750-4470, or on the web at www.copyright.com. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permission.

Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in preparing this book, they make no representations or warranties with respect to the accuracy or completeness of the contents of this book and specifically disclaim any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives or written sales materials. The advice and strategies contained herein may not be suitable for your situation. You should consult with a professional where appropriate. Neither the publisher nor author shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.

For general information on our other products and services or for technical support, please contact our Customer Care Department within the United States at (800) 762-2974, outside the United States at (317) 572-3993 or fax (317) 572-4002.

Wiley also publishes its books in a variety of electronic formats. Some content that appears in print may not be available in electronic formats. For more information about Wiley products, visit our website at www.wiley.com.

Library of Congress Cataloging-in-Publication Data is Available:

9781119487128 (hardback)

9781119487173 (ePDF)

9781119487159 (ePub)

Cover Design: Wiley

To all those who unconditionally love and support authors and their writing processes especially our life partners, Maya McNeilly and Dilpreet Kaur, who go above and beyond.

Preface

This book provides an end-to-end description of the text analytics process with examples drawn from a range of case studies using various capabilities of SAS text analytics and the associated SAS computing environment. Qualitative and quantitative approaches within the SAS environment are covered across the entire text analytics life cycle from document capture, document characterization, document understanding, through operational deployments.

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