Text Analytics in Marketing

£99.50

Text Analytics in Marketing

A Practical Guide for Students and Researchers

Economics, Finance, Business and Management Sales and marketing Probability and statistics Mathematical and statistical software

Authors: Daniel Dan, Thomas Reutterer

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Collection: Classroom Companion: Business

Language: English

Published by: Springer

Published on: 18th February 2026

Format: LCP-protected ePub

ISBN: 9783032080868


Introduction to Text Mining and Text Analytics

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.

Relevance in Today's Digital Landscape

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.

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