Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/321034 
Year of Publication: 
2024
Citation: 
[Journal:] Administrative Sciences [ISSN:] 2076-3387 [Volume:] 14 [Issue:] 9 [Article No.:] 220 [Year:] 2024 [Pages:] 1-12
Publisher: 
MDPI, Basel
Abstract: 
The aim of this study is to investigate the potential of ChatGPT in analyzing the financial sentiment analysis of entrepreneurs. Sentiment analysis involves detecting if it is positive, negative, or neutral from a text. We examine several prompts on ChatGPT-4, ChatGPT-4.0, and LeChat-Mistral and compare the results with FinBERT. Then, we examine the correlation between scores given by both tools with the type, size, and age of the company. The results have shown that scores given by FinBERT are mostly significant and positively correlated with sustainable variables. By sharing these results, we hope to stimulate future research and advances in the field of financial services, particularly bank loans.
Subjects: 
AI
entrepreneur death
entrepreneur sustainability
LLM
sentiment analysis
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
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