Practical Text Analytics
Maximizing the Value of Text Data
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 pr…
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Produktdetails
Weitere Autoren: Hill, Chelsey / Nolan, Thomas
- ISBN: 978-3-319-95663-3
- EAN: 9783319956633
- Produktnummer: 29174657
- Verlag: Springer-Verlag GmbH
- Sprache: Englisch
- Erscheinungsjahr: 2018
- Seitenangabe: 285 S.
- Plattform: PDF
- Masse: 14'823 KB
- Auflage: 1st ed. 2019
- Abbildungen: 108 schwarz-weiße und 157 farbige Abbildungen, 24 farbige Tabellen, Bibliographie
Über den Autor
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.
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