A novel data-driven weighted sentiment analysis based on information entropy for perceived satisfaction
Zheng Wang, Lun Wang, Ying Ji, Lulu Zuo, Shaojian Qu
| Year of publication: |
2022
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|---|---|
| Authors: | Wang, Zheng ; Wang, Lun ; Ji, Ying ; Zuo, Lulu ; Qu, Shaojian |
| Published in: |
Journal of retailing and consumer services. - Amsterdam [u.a.] : Elsevier, ISSN 0969-6989, ZDB-ID 1204385-0. - Vol. 68.2022, p. 1-15
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| Subject: | Customer satisfaction | Information entropy | Perceived helpfulness prediction | Supervised learning | Weighted analysis | Kundenzufriedenheit | Entropie | Entropy | Prognoseverfahren | Forecasting model | Konsumentenverhalten | Consumer behaviour |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.jretconser.2022.103038 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013366343