Goutam Chakraborty

co-author of "Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS"

February 4, 2014

Dr. Goutam Chakraborty is the director of the graduate certificate in Business Data Mining and professor of marketing. Companies such as Aetna, Mercruiser, Thrifty Rent-A-Car, Berendsen Fluid Power, Globe Life Insurance, Vanguard Realtors, Hilti, Love's Travel Stops and others have used his consulting services. At OSU, he teaches business analytics, data mining and CRM applications, advanced data mining, database marketing, and marketing research to master's and Ph.D. students. Goutam is an internationally known expert in the field of data mining and analytics and has presented numerous programs and workshops to executives, educators, and research professionals in the U.S., Europe, Asia, Australia and Middle East. He has won numerous teaching awards including SAS^® Distinguished Professor Award from SAS Institute and the Regents Distinguished Teaching Award at OSU. His research has been published in many scholarly journals such as Journal of Interactive Marketing, Journal of Advertising Research, Journal of Advertising, Journal of Business Research, and Industrial Marketing Management. Goutam has served on the editorial review board of Journal of Business Research and Journal of Academy of Marketing Science. He has chaired the national conference for direct marketing educators in 2004 and 2005 and co-chaired the M2007 data mining conference.

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 just how to analyze your data, but how to collect, cleanse, organize, categorize, explore, and interpret it as well. Text Mining and Analysis also features an extensive set of case studies, so you can see examples of how the applications work with real-world data from a variety of industries. Text analytics enables you to gain insights about your customers' behaviors and sentiments. Leverage your organization's text data, and use those insights for making better business decisions with "Text Mining and Analysis."

URL: https://library.okstate.edu/news/celebratingbooks/2014-honorees/goutam-chakraborty

Last Updated: 12 January 2022