人工智能在进行金融情绪分析以预测企业家生存状况方面的潜力

IF 3 Q2 MANAGEMENT
Lina Saleh, Samer Semaan
{"title":"人工智能在进行金融情绪分析以预测企业家生存状况方面的潜力","authors":"Lina Saleh, Samer Semaan","doi":"10.3390/admsci14090220","DOIUrl":null,"url":null,"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.","PeriodicalId":30376,"journal":{"name":"Administrative Sciences","volume":"25 1","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Potential of AI in Performing Financial Sentiment Analysis for Predicting Entrepreneur Survival\",\"authors\":\"Lina Saleh, Samer Semaan\",\"doi\":\"10.3390/admsci14090220\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":30376,\"journal\":{\"name\":\"Administrative Sciences\",\"volume\":\"25 1\",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Administrative Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/admsci14090220\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Administrative Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/admsci14090220","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0

摘要

本研究旨在探讨 ChatGPT 在分析企业家财务情绪分析方面的潜力。情感分析包括从文本中检测是正面、负面还是中性。我们研究了 ChatGPT-4、ChatGPT-4.0 和 LeChat-Mistral 上的几个提示,并将结果与 FinBERT 进行了比较。然后,我们研究了这两种工具给出的分数与公司类型、规模和年龄之间的相关性。结果表明,FinBERT 给出的分数与可持续变量之间大多具有显著的正相关性。通过分享这些结果,我们希望能促进金融服务领域,尤其是银行贷款领域未来的研究和进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.80
自引率
10.00%
发文量
151
审稿时长
11 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信