Practical text analytics : interpreting text and unstructured data for business intelligence /
Saved in:
Author / Creator: | Struhl, Steven M., author. |
---|---|
Imprint: | London, UK ; Philadelphia, PA : Kogan Page, 2015. |
Description: | 1 online resource (1 volume) : illustrations. |
Language: | English |
Series: | Marketing science series Marketing science series. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/13453587 |
Table of Contents:
- 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.