A comprehensive research progress of applying NLP in financial problems

被引：0
|
作者：
Ling A. [1 ,2 ]
Peng W. [2 ]
Wang Q. [2 ]
Yang X. [3 ]
机构：
[1] School of Economics and Finance, Shanghai International Studies University, Shanghai
[2] Institute of Corpus Studies and Applications, Shanghai International Studies University, Shanghai
[3] Academy of Mathematics and Systems Science, China Academy of Sciences, Beijing
来源：
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | 2024年 / 44卷 / 01期
基金：
中国国家自然科学基金; 国家自然科学基金重大项目;
关键词：
corpus; financial research; natural language processing; textual data;
D O I：
10.12011/SETP2023-1935
中图分类号：
学科分类号：
摘要：
Using natural language processing (NLP) techniques to gain key information from unstructured data, such as corporate texts, news coverage and self-media language, to do financial and economic research which has attracted extensive attention from numerous scholars in recent years and a wealth of research literature has existed. This paper summaries the latest research progress on the application of NLP in financial problems to expatiate text analysis methods using NLP techniques, and focuses on literature about how to use annual reports and news text to study issues in financial areas including corporate finance, asset pricing, risk management, macro-finance and green finance. We evaluate some rough edges in the existing research literature and provide certain research directions for further research in the end. © 2024 Systems Engineering Society of China. All rights reserved.
引用
收藏
页码：387 / 406
页数：19
相关论文
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