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

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  • Lina Saleh

    (ASCENCIA Business School, La Défense Campus, 92044 Paris, France)

  • Samer Semaan

    (Département GEA, IUT Amiens, Université de Picardie Jules Verne, 80000 Amiens, France)

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.

Suggested Citation

  • Lina Saleh & Samer Semaan, 2024. "The Potential of AI in Performing Financial Sentiment Analysis for Predicting Entrepreneur Survival," Administrative Sciences, MDPI, vol. 14(9), pages 1-12, September.
    • Handle: RePEc:gam:jadmsc:v:14:y:2024:i:9:p:220-:d:1477525
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    References listed on IDEAS

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    1. Joshy Jacob, 2018. "A Note from the Editor," Vikalpa: The Journal for Decision Makers, , vol. 43(3), pages 1-1, September.
    2. Giles Atkinson, 2000. "Measuring Corporate Sustainability," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 43(2), pages 235-252.
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