Goutam Chakraborty, Murali Pagolu, Satish Garla

Text Mining and Analysis (eBook, ePUB)

Practical Methods, Examples, and Case Studies Using SAS

• Format: ePub

Produktbeschreibung

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.

This book is part of the SAS Press program.

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Produktdetails

• Verlag: SAS Institute
• Seitenzahl: 340
• Erscheinungstermin: 12. November 2014
• Englisch
• ISBN-13: 9781612907871
• Artikelnr.: 56826867

Autorenporträt

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 than 20 years. Goutam has presented numerous programs and workshops to executives, educators, and research professionals in the US, Europe, Asia, and the Middle East. He has won many teaching awards, including the SAS Distinguished Professor Award from SAS Institute, and he teaches the popular SAS Business Knowledge Series course, "Text Analytics and Sentiment Mining Using SAS."