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Advances in Analytics and Data Science

Practical Text Analytics

Maximizing the Value of Text Data

Authors: Anandarajan, Murugan, Hill, Chelsey, Nolan, Thomas

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  • Offers an easy-to-follow introduction to text analytics in business and management
  • Helps business practitioners increase their accessibility of information available in unstructured text data without requiring extensive coding experience or knowledge in the area
  • Includes real-world examples, in multiple programming languages including SAS, R, Statistica, Python and QDA Miner
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eBook $64.99
price for USA in USD (gross)
  • ISBN 978-3-319-95663-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $84.99
price for USA in USD
  • ISBN 978-3-319-95662-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $84.99
price for USA in USD
  • ISBN 978-3-030-07080-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications, Practical Text Analytics: Maximizing the Value of Text Data makes technical concepts accessible to those without extensive experience in the field. Using text analytics, organizations can derive insights from content such as emails, documents, and social media. 

Practical Text Analytics is divided into five parts. The first part introduces text analytics, discusses the relationship with content analysis, and provides a general overview of text mining methodology. In the second part, the authors discuss the practice of text analytics, including data preparation and the overall planning process. The third part covers text analytics techniques such as cluster analysis, topic models, and machine learning. In the fourth part of the book, readers learn about techniques used to communicate insights from text analysis, including data storytelling. The final part of Practical Text Analytics offers examples of the application of software programs for text analytics, enabling readers to mine their own text data to uncover information.

About the authors

Murugan Anandarajan is a Professor of MIS at Drexel University. His current research interests lie in the intersections of areas Crime, IoT, and Analytics. His work has been published in journals such as Decision Sciences, Journal of MIS, and Journal of International Business Studies. He co-authored eight books, including Internet and Workplace Transformation (2006) and its follow up volume, The Internet of People, Things and Services (2018). He has been awarded over $2.5 million in research grants from various government agencies including the National Science Foundation, U.S. Department of Justice, National Institute of Justice, and the State of PA. 

Chelsey Hill is an Assistant Professor of Business Analytics in the Information Management and Business Analytics Department of the Feliciano School of Business at Montclair State University. She holds a BA in Political Science from The College of New Jersey, an MS in Business Intelligence from Saint Joseph’s University and a PhD in Business Administration with a concentration in Decision Sciences from Drexel University. Her research interests include consumer product recalls, online consumer reviews, safety and security, public policy and humanitarian operations. Her research has been published in Journal of Informetrics and the International Journal of Business Intelligence Research.

Tom Nolan completed his undergraduate work at Kenyon College. After Kenyon, he attended Drexel University where he graduated with a M.S. in Business Analytics. From there, he worked at Independence Blue Cross in Philadelphia, PA and Anthem Inc. in Houston, TX. Currently, he works with all types of data as a Data Scientist for Mercury Data Science.

Reviews

“The book also eases readers’ comprehension by presenting a short introduction and illustrating some key takeaways … . This book is relatively suitable for newcomers in the field of text data analytics, especially for students and researchers who do not excel in statistics but still hope to use big data to lay a sound foundation for their research. Hopefully, the book can elucidate readers to step into the wonderful world of text data analytics.” (Jianwei Qian and Rob Law, Information Technology & Tourism, Vol. 21, 2019)

Table of contents (16 chapters)

Table of contents (16 chapters)

Buy this book

eBook $64.99
price for USA in USD (gross)
  • ISBN 978-3-319-95663-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $84.99
price for USA in USD
  • ISBN 978-3-319-95662-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $84.99
price for USA in USD
  • ISBN 978-3-030-07080-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Practical Text Analytics
Book Subtitle
Maximizing the Value of Text Data
Authors
Series Title
Advances in Analytics and Data Science
Series Volume
2
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-319-95663-3
DOI
10.1007/978-3-319-95663-3
Hardcover ISBN
978-3-319-95662-6
Softcover ISBN
978-3-030-07080-9
Series ISSN
2522-0233
Edition Number
1
Number of Pages
XXVIII, 285
Number of Illustrations
108 b/w illustrations, 157 illustrations in colour
Topics