Text Analytics for Business Decisions
Text Analytics for Business Decisions
Proud to be B-Corp
Our business meets the highest standards of verified social and environmental performance, public transparency and legal accountability to balance profit and purpose. In short, we care about people and the planet.
The feel-good place to buy books
- Free delivery in the UK
- Supporting authors with AuthorSHARE
- 100% recyclable packaging
- B Corp - kinder to people and planet
- Buy-back with World of Books - Sell Your Books
Text Analytics for Business Decisions by Andres Fortino
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.
The companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com.
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.
The companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com.
| SKU | Nicht verfügbar |
| ISBN 13 | 9781683926665 |
| ISBN 10 | 1683926668 |
| Titel | Text Analytics for Business Decisions |
| Autor | Andres Fortino |
| Buchzustand | Nicht verfügbar |
| Bindungsart | Paperback |
| Verlag | Mercury Learning & Information |
| Erscheinungsjahr | 2021-06-11 |
| Seitenanzahl | 318 |
| Hinweis auf dem Einband | Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden. |
| Hinweis | Nicht verfügbar |