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

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.

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Publication Details

Journal
Administrative Sciences
Published
2024-09-13
DOI
https://doi.org/10.3390/admsci14090220
Citations
7
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
3.43
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article

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

Lina Saleh, Samer Semaan
7 citations
Administrative Sciences
Stock Market Forecasting Methods
3.43
article

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

Lina Saleh, Samer Semaan
article en
7 citations

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.

Administrative SciencesVol. 14(9)
Ministère des Armées (FR), Université de Picardie Jules Verne (FR)
Decent work and economic growth
Openalex Percentile: Top 7%
Stock Market Forecasting Methods
3.43
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