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Text Mining and Analysis Practical Methods, Examples, and Case Studies Using SAS

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ISBN-10: 161290551X

ISBN-13: 9781612905518

Edition: 2013

Authors: Goutam Chakraborty, Murali Pagolu, Satish Garla

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Description:

Big data: It's unstructured, it's coming at you fast, and there's lots of it. In fact, the majority of big data is text-oriented, thanks to the proliferation of online sources such as blogs, emails, and social media. However, having big data means little if you can't leverage it with analytics. Now you can explore the large volumes of unstructured text data that your organization has collected with Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS. This hands-on guide to text analytics using SAS provides detailed, step-by-step instructions and explanations on how to mine your text data for valuable insight. Through its comprehensive approach, you'll learn not…    
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Book details

Copyright year: 2013
Publisher: SAS Institute
Publication date: 10/25/2013
Binding: Paperback
Pages: 340
Size: 8.25" wide x 11.00" long x 0.71" tall
Weight: 2.046
Language: English

Dr. Goutam Chakraborty has a B. Tech (Honors) in mechanical engineering from the Indian Institute of Technology, Kharagpur; a PGCGM from the Indian Institute of Management, Calcutta; and an MS in statistics and a PhD in marketing from the University of Iowa. He has held managerial positions with a subsidiary of Union Carbide, USA, and with a subsidiary of British American Tobacco, UK. He is a professor of marketing at Oklahoma State University, where he has taught business analytics, marketing analytics, data mining, advanced data mining, database marketing, new product development, advanced marketing research, web-business strategy, interactive marketing, and product management for more…    

Murali Pagolu is a Business Analytics Consultant at SAS. He has rich experience in implementing analytical solutions involving text analytics, predictive modeling, customer segmentation, database marketing, and various data mining techniques for customer relationship management applications. He currently holds six SAS certification credentials.

Satish Garla is an Analytical Consultant in Risk Practice at SAS. He has extensive experience in risk modeling for healthcare, predictive modeling, text analytics, and SAS programming. He has a distinguished background in analytics, databases, and business administration.