
Text Analytics for Business Decisions
A Case Study Approach
Andres Fortino(Author)
Mercury Learning & Information (Publisher)
1st Edition
Will be published approx. on 11. June 2021
Book
Paperback/Softback
318 pages
978-1-68392-666-5 (ISBN)
Description
No detailed description available for "Text Analytics for Business Decisions".
More details
Edition
1. Auflage
Language
English
Place of publication
Herndon, VA
United States
Target group
Professional and scholarly
US School Grade: College Graduate Student
Product notice
Klappenbroschur
Dimensions
Height: 229 mm
Width: 178 mm
Thickness: 19 mm
Weight
565 gr
ISBN-13
978-1-68392-666-5 (9781683926665)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
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Other editions
Additional editions

E-Book
05/2021
1st Edition
Mercury Learning and Information
€61.49
Available for download
Person
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 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 made over 100 technical presentations. He received IBM's First Invention Level Award for his work in semiconductor research. He holds three US patents and ten invention disclosures. He is a Senior Member of the IEEE, and a member of the Academy of Management, INFORMS and the Decision Science Institute.
Content
1: Framing Analytical Questions
2: Analytical Tool Sets
3: Text Data Sources and Formats
4: Preparing the Data File
5: Word Frequency Analysis
6: Keyword Analysis
7: Sentiment Analysis
8: Visualizing Text Data
9: Coding Text Data
10: Named Entity Recognition
11: Topic Recognition in Documents
12: Text Similarity Scoring
13: Analysis of Large Datasets by Sampling
14: Installing R and RStudio
15: Installing the Entity Extraction Tool
16: Installing the Topic Modeling Tool
17: Installing the Voyant Text Analysis Tool
Index
2: Analytical Tool Sets
3: Text Data Sources and Formats
4: Preparing the Data File
5: Word Frequency Analysis
6: Keyword Analysis
7: Sentiment Analysis
8: Visualizing Text Data
9: Coding Text Data
10: Named Entity Recognition
11: Topic Recognition in Documents
12: Text Similarity Scoring
13: Analysis of Large Datasets by Sampling
14: Installing R and RStudio
15: Installing the Entity Extraction Tool
16: Installing the Topic Modeling Tool
17: Installing the Voyant Text Analysis Tool
Index