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Automated Text Analysis

In: Handbook of Market Research

Author

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  • Ashlee Humphreys

    (Northwestern University)

Abstract

The amount of text available for analysis by marketing researchers has grown exponentially in the last two decades. Consumer reviews, message board forums, and social media feeds are just a few sources of data about consumer thought, interaction, and culture. However, written language is filled with complex meaning, ambiguity, and nuance. How can marketing researchers possibly transform this rich linguistic representation into quantifiable data for statistical analysis and modeling? This chapter provides an introduction to text analysis, covering approaches that range from top-down deductive methods to bottom-up inductive methods for text mining. After covering some foundational aspects of text analysis, applications to marketing research such as sentiment analysis, topic modeling, and studying organizational communication are summarized and explored, including a case study of word-of-mouth response to a product launch.

Suggested Citation

  • Ashlee Humphreys, 2022. "Automated Text Analysis," Springer Books, in: Christian Homburg & Martin Klarmann & Arnd Vomberg (ed.), Handbook of Market Research, pages 633-664, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-57413-4_26
    DOI: 10.1007/978-3-319-57413-4_26
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