This book offers a comprehensive introduction to text mining and text analytics tailored for marketers. It presents key techniques for analyzing, compressing, classifying, and visualizing textual data and user-generated content (UGC), with a particular emphasis on using R software. These methods enable readers to effectively prepare and manipulate textual data to uncover actionable marketing insights.
In today's digital landscape, analyzing online chatter, sentiment, preferences, and other forms of electronic word-of-mouth has become an essential skill for marketing researchers and professionals. Through a rich collection of examples, program code, and hands-on exercises, this book equips both students and marketing managers with the theoretical foundation and practical skills needed to apply text-based data analysis to contemporary marketing challenges.
| ISBN: | 9783032080851 |
| Publication date: | 22nd March 2026 |
| Author: | Daniel Dan, Thomas Reutterer |
| Publisher: | Springer an imprint of Springer Nature Switzerland |
| Format: | Hardback |
| Pagination: | 365 pages |
| Series: | Classroom Companion: Business |
This book offers a comprehensive introduction to text mining and text analytics tailored for marketers. It presents key techniques for analyzing, compressing, classifying, and visualizing textual data and user-generated content (UGC), with a particular emphasis on using R software.
Hardback. £89.99, down from the £99.99 cover price. Not Available.
Text Analytics in Marketing was written by Daniel Dan, Thomas Reutterer and published by Springer an imprint of Springer Nature Switzerland
Text Analytics in Marketing has 365 pages
Yes it is part of Classroom Companion: Business series
£89.99, reduced from £99.99. Not Available.