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Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
book

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
January 2012
Intermediate to advanced
1000 pages
28h 4m
English
Academic Press
Content preview from Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
Tutorial Q

A Hands-On Tutorial on Text Mining in SAS®

Analysis of Customer Comments for Clustering and Predictive Modeling

Maheshwar Nareddy,     Graduate Student, Email: maheshn@ostatemail.okstate.edu

Dr. Goutam Chakraborty,     Professor, Department of Marketing, Oklahoma State University, Email: Goutam.chakraborty@okstate.edu

Contents

Introduction

In order to retain existing customers and attract new ones, many companies use customer loyalty programs. This practice is very common among retail businesses, where it has been popular for quite some time. Periodic evaluation of these loyalty programs through customer surveys helps in identifying the important updates that need to be done to ...

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Publisher Resources

ISBN: 9780123869791