A comprehensive research progress of applying NLP in financial problems
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.
natural language processingcorpustextual datafinancial research
NETL
NSTL
万方数据
