Zhang, Yunxuan (2024) Deciphering Lending Behaviors in Peer-to-Peer Platforms: An Integrated Analysis of Emotion, Topic Modeling, and User-defined Occupational Data. In: Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China.
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Abstract
This research investigates the influence of borrower-generated content on Peer-to-Peer (P2P) lending outcomes, specifically focusing on the sentiment and thematic content of loan descriptions. The central hypothesis posits that these elements of self-disclosure profoundly influence lending determina
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 17:33 |
| Last Modified: | 16 Apr 2026 23:47 |
| URI: | http://eprints.eai.eu/id/eprint/48837 |
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