Can reviews predict reviewers' numerical ratings? : the underlying mechanisms of customers' decisions to rate products using Latent Dirichlet Allocation (LDA)
Atieh Poushneh and Reza Rajabi
| Year of publication: |
2022
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|---|---|
| Authors: | Poushneh, Atieh ; Rajabi, Reza |
| Published in: |
Journal of consumer marketing. - Bradford : Emerald, ISSN 2052-1200, ZDB-ID 2032361-X. - Vol. 39.2022, 2, p. 230-241
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| Subject: | Customer review | Dual coding theory | Gradient boosted decision tree | LDA | Machine learning | Online customer review | Online text reviews | Topic modeling | Online-Handel | Online retailing | Konsumentenverhalten | Consumer behaviour | Künstliche Intelligenz | Artificial intelligence | Virales Marketing | Viral marketing | Data Mining | Data mining | Social Web | Social web | Prognoseverfahren | Forecasting model | Kundenzufriedenheit | Customer satisfaction |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1108/JCM-09-2020-4114 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013165333