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Digging for gold with a simple tool: Validating text mining in studying electronic word-of-mouth (eWOM) communication

Marketing Letters volume 26, pages 67–80 (2015)Cite this article

Abstract

Text-based electronic word-of-mouth (eWOM) communication has increasingly become an important channel for consumers to exchange information about products and services. How to effectively utilize the enormous amount of text information poses a great challenge to marketing researchers and practitioners. This study takes an initial step to investigate the validities and usefulness of text mining, a promising approach in generating valuable information from eWOM communication. Bilateral data were collected from both eWOM senders and readers via two web-based surveys. Results provide initial evidence for the validity and utility of text mining and demonstrate that the linguistic indicators generated by text analysis are predictive of eWOM communicators’ attitudes toward a product or service. Text analysis indicators (e.g., Negations and Money) can explain additional variance in eWOM communicators’ attitudes above and beyond the star ratings and may become a promising supplement to the widely used star ratings as indicators of eWOM valence.

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Authors and Affiliations

  1. Department of Marketing, College of Business & Public Administration, Old Dominion University, Norfolk, VA, 23529-0220, USA

    Chuanyi Tang

  2. Department of Marketing, Peter T. Paul College of Business and Economics, University of New Hampshire, Durham, NH, 03824, USA

    Lin Guo

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  1. Chuanyi Tang
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  2. Lin Guo
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Correspondence to Chuanyi Tang.

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Tang, C., Guo, L. Digging for gold with a simple tool: Validating text mining in studying electronic word-of-mouth (eWOM) communication. Mark Lett 26, 67–80 (2015). https://doi.org/10.1007/s11002-013-9268-8

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  • DOI: https://doi.org/10.1007/s11002-013-9268-8

Keywords

  • Electronic word-of-mouth
  • Text mining
  • Linguistic indicator
  • Attitude