MARC details
000 -LEADER |
fixed length control field |
01988nam a2200229Ia 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
NULRC |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20250520102814.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
250520s9999 xx 000 0 und d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780749474010 |
040 ## - CATALOGING SOURCE |
Transcribing agency |
NULRC |
050 ## - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
HF 5415.125 .S77 2015 |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Struhl, Steven |
Relator term |
author |
245 #0 - TITLE STATEMENT |
Title |
Practical text analytics : |
Remainder of title |
interpreting text and unstructured data for business intelligence / |
Statement of responsibility, etc. |
Steven Struhl |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
London, United Kingdom : |
Name of publisher, distributor, etc. |
Kogan Page Limited, |
Date of publication, distribution, etc. |
c2015 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xiii, 257 pages : |
Other physical details |
illustrations ; |
Dimensions |
23 cm. |
365 ## - TRADE PRICE |
Price amount |
USD39.93 |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
Includes bibliographical references and index. |
505 ## - FORMATTED CONTENTS NOTE |
Formatted contents note |
1. Who should read this book? And what do you want to do today? -- 2. Getting ready: capturing, sorting, sifting, stemming and matching -- 3. In pictures: word clouds, wordless and beyond -- 4. Putting text together: clustering documents using words -- 5. In the mood for sentiment (and counting) -- 6. Predictive models -- 7. Predictive models 2: classifications that grow on trees -- 8. Predictive models 3: all in the family with Bayes Nets -- 9. Looking forward and back. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Bridging the gap between the marketer who must put text analytics to use and data analysis experts, Practical Text Analytics is an accessible guide to the many advances in text analytics. It explains the different approaches and methods, their uses, strengths, and weaknesses, in a way that is relevant to marketing professionals. Each chapter includes illustrations and charts, hints and tips, pointers on the tools and techniques, definitions, and case studies/examples. Consultant and researcher Steven Struhl presents the process of text analysis in ways that will help marketers clarify and organize the confusing array of methods, frame the right questions, and apply the results successfully to find meaning in any unstructured data and develop effective new marketing strategies. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
BUSINESS AND ECONOMICS |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Library of Congress Classification |
Koha item type |
Books |