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Text Analytics for Business Decisions
A Case Study Approach
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Andres Fortino
Language:
English
Published/Copyright:
2021
About this book
With the rise in data science development, we now have many remarkable techniques and tools to extend data analysis from numeric and categorical data to textual data. Sifting through the open-ended responses from a survey, for example, was an arduous process when performed by hand. Using a case study approach, this book was written for business analysts who wish to increase their skills in extracting answers for text data in order to support business decision making. Most of the exercises use Excel, today’s most common analysis tool, and R, a popular analytic computer environment. The techniques covered range from the most basic text analytics, such as key word analysis, to more sophisticated techniques, such as topic extraction and text similarity scoring. Companion files with numerous datasets are included for use with case studies and exercises.
Features:
- Organized by tool or technique, with the basic techniques presented first and the more sophisticated techniques presented later
- Uses Excel and R for datasets in case studies and exercises
- Features the CRISP-DM data mining standard with early chapters for conducting the preparatory steps in data mining
- Companion files with numerous datasets and figures from the text.
Author / Editor information
Fortino Andres :
Andres Fortino, PhD holds an appointment as a clinical associate professor of management and systems at the NYU School of Professional Studies, where he teaches courses in business analytics, data mining, and data visualization. He also leads his own consulting company, Fortino Global Education. Dr. Fortino has published ten books and over 40 academic papers, and has received IBM's First Invention Level Award for his work in semiconductor research. He holds three US patents and ten invention disclosures.
Supplementary Materials
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Publishing information
Pages and Images/Illustrations in book
eBook published on:
May 27, 2021
eBook ISBN:
9781683926658
Paperback published on:
June 11, 2021
Paperback ISBN:
9781683926665
Pages and Images/Illustrations in book
Main content:
318
Keywords for this book
Business Communication; Data Analytics; Computer Science; Data Visualization; R; Excel
Safety & product resources
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Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com
