The Potential of AI in Performing Financial Sentiment Analysis for Predicting Entrepreneur Survival

Lina Saleh () and Samer Semaan
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Lina Saleh: Ascencia business school
Samer Semaan: CRIISEA - Centre de Recherche sur les Institutions, l'Industrie et les Systèmes Économiques d'Amiens - UR UPJV 3908 - UPJV - Université de Picardie Jules Verne

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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.

Keywords: sentiment analysis; entrepreneur sustainability; entrepreneur death; AI; LLM (search for similar items in EconPapers)
Date: 2024-09-13
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Published in Administrative Sciences, 2024, 14 (9), pp.220. ⟨10.3390/admsci14090220⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04698410

DOI: 10.3390/admsci14090220

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