Marketing Letters

, Volume 26, Issue 1, pp 67–80 | Cite as

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

  • Chuanyi Tang
  • Lin Guo


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.


Electronic word-of-mouth Text mining Linguistic indicator Attitude 


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of Marketing, College of Business & Public AdministrationOld Dominion UniversityNorfolkUSA
  2. 2.Department of Marketing, Peter T. Paul College of Business and EconomicsUniversity of New HampshireDurhamUSA

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