Practical text analytics: interpreting text and unstructured data for business intelligence

by Struhl, Steven M.

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Title Statements

Full title :Practical text analytics : interpreting text and unstructured data for business intelligence / Steven Struhl.

Summary

Bridging the gap between the marketer who must put text analytics to use and data analysis experts, this 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. 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. --

Edition Statements

Publication Date:2015.

Publication Statements

Publisher(s):Kogan Page, Limited
Place of Publication:London, United Kingdom
Language:eng
Publication Date:2015.

Notes

Titre de l'écran-titre (visionné le 11 nov. 2015).

TRAITEMENT SOMMAIRE.

The Physical Object

Description:1 ressource en ligne (257 p.).

Edition Identifiers

ISBN:9780749474027, 0749474025, 0749474017, 9780749474010
oclc:ocn919107162
LC Classification:HF5415.125
Dewey Decimal:658.4/72

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, wordles and beyond; 4 -: Putting text together: clustering words and documents using words; 5 -: In the mood for sentiment (and counting); 6 -: Predictive models 1: Having words with regressions; 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; A -:Glossary.

Subjects

Big data Business intelligence Données volumineuses Livres électroniques Livres numériques Marketing -- Data processing Marketing -- Informatique Marketing -- Recherche Marketing research Veille économique