Quantifying Post-Purchase Service Satisfaction: A Topic–Emotion Fusion Approach with Smartphone Data

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Opis bibliograficzny
Wydane w:	Big Data and Cognitive Computing vol. 9, no. 5 (2025), p. 125
1. autor:	Guo Peijun
Kolejni autorzy:	Li, Huan, Xinyue, Mo
Wydane:	MDPI AG
Hasła przedmiotowe:	Customer services Customer satisfaction Analytic hierarchy process Deep learning Food Multiple criterion Data mining Product design User generated content Data envelopment analysis Emotions Feedback Product development Consumers Design engineering Sentiment analysis User satisfaction Clustering Product reviews User groups Decision making Quality of service Electronic commerce Natural language processing Design factors
Dostęp online:	Citation/Abstract Full Text + Graphics Full Text - PDF
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