Audio Features and Crowdfunding Success: An Empirical Study Using Audio Mining
Crowdfunding videos have become a crucial tool for entrepreneurs seeking financial support, with audio design playing a critical role in attracting potential investors. However, research on how audio features influence crowdfunding success remains limited. This study uses audio analysis techniques t...
Saved in:
| Main Authors: | Miao Miao, Yudan Wang, Jingpeng Li, Yushi Jiang, Qiang Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Journal of Theoretical and Applied Electronic Commerce Research |
| Subjects: | |
| Online Access: | https://www.mdpi.com/0718-1876/19/4/154 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep convolutional neural networks for double compressed AMR audio detection
by: Aykut Büker, et al.
Published: (2021-06-01) -
The Development of Digital Audio Coding
by: Guo Ke
Published: (1995-01-01) -
Audio classification using grasshopper‐ride optimization algorithm‐based support vector machine
by: Suryabhan Pratap Singh, et al.
Published: (2021-08-01) -
Audio-Language Datasets of Scenes and Events: A Survey
by: Gijs Wijngaard, et al.
Published: (2025-01-01) -
Comparative Analysis of Audio Features for Unsupervised Speaker Change Detection
by: Alymzhan Toleu, et al.
Published: (2024-12-01)