Deriving the Pricing Power of Product Features by Mining Consumer Reviews

Article, Preprint OPEN
Nikolay Archak; Anindya Ghose; Panagiotis G. Ipeirotis;
  • Journal: Management Science,volume 57,issue 8 August,pages1,485-1,509
  • Related identifiers: doi: 10.1287/mnsc.1110.1370
  • Subject: consumer reviews, e-commerce, econometrics, electronic commerce, electronic markets, hedonic analysis, Internet, opinion mining, product review, sentiment analysis, text mining, user-generated content. | Bayesian learning, consumer reviews, discrete choice, electronic commerce, electronic markets, opinion mining, sentiment analysis, user-generated content, text mining, econometrics
    • jel: jel:C33 | jel:M37 | jel:D12 | jel:L81 | jel:L10 | jel:M31

The increasing pervasiveness of the Internet has dramatically changed the way that consumers shop for goods. Consumer-generated product reviews have become a valuable source of information for customers, who read the reviews and decide whether to buy the product based o... View more
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