Deriving the Pricing Power of Product Features by Mining Consumer Reviews

DOI10.1287/MNSC.1110.1370zbMath1279.90083DBLPjournals/mansci/ArchakGI11OpenAlexW3123967386WikidataQ57695936 ScholiaQ57695936MaRDI QIDQ2870457

Panagiotis G. Ipeirotis, Anindya Ghose, Nikolay Archak

Publication date: 20 January 2014

Published in: Management Science (Search for Journal in Brave)

Full work available at URL: http://www.jstor.org/stable/25835793

zbMATH Keywords

Bayesian learningtext miningelectronic commercediscrete choiceeconometricssentiment analysisopinion mininguser-generated contentelectronic marketsconsumer reviews

Mathematics Subject Classification ID

Consumer behavior, demand theory (91B42) Marketing, advertising (90B60)

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