A theory-based explainable deep learning architecture for music emotion
Hortense Fong, Vineet Kumar, K. Sudhir
| Year of publication: |
2025
|
|---|---|
| Authors: | Fong, Hortense ; Kumar, Vineet ; Sudhir, K. |
| Published in: |
Marketing science. - Baltimore, Md. : INFORMS, ISSN 1526-548X, ZDB-ID 2023536-7. - Vol. 44.2025, 1, p. 196-219
|
| Subject: | audio data | deep learning | digital advertising | emotion | explainable and interpretable AI | music theory | Emotion | Musik | Music | Musikwirtschaft | Music industry | Künstliche Intelligenz | Artificial intelligence | Konsumentenverhalten | Consumer behaviour | Werbung | Advertising | Werbewirkung | Advertising effects | Lernen | Learning |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/mksc.2022.0323 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015197239