Application progress of natural language processing technology in financial research
DOI: 10.23977/ferm.2024.070320 | Downloads: 13 | Views: 175
Author(s)
Jue Xiao 1, Jiangshan Wang 2, Wenqing Bao 3, Tingting Deng 4, Shuochen Bi 5
Affiliation(s)
1 The School of Business, University of Connecticut, Independent Researcher Jersey City, NJ, 07302, USA
2 The Paul Merage School of Business, University of California, Irvine, Independent Researcher Salt Lake City, UT, 84121, USA
3 Americold Logistics, LLC Atlanta, GA, 30319, USA
4 Simon Business School, University of Rochester, Independent Researcher Chantilly, VA, 20151, USA
5 D'Amore-McKim School of Business, Northeastern University, Independent Researcher Boston, MA, 02110, USA
Corresponding Author
Jue XiaoABSTRACT
With the rapid development of artificial intelligence technology, natural language processing (NLP) technology has become an indispensable tool in financial research. This technology has activated the new dimensions of public opinion monitoring, financial report interpretation and risk assessment in the field of financial market analysis. The fine-grained understanding of the discourse by NLP technology is transformed into insights into the market pulse, which provides a feasible reference for investors to develop strategies. In the field of customer service at the same time, intelligent customer service system to quick and accurate response, personalized recommendation algorithm by mining user demand to fill the service blank, public perception is added a layer of strong protection for reputation management, in addition in the financial knowledge mining and innovation, NLP in promoting the literature analysis automation process at the same time, thus innovating the investment strategy, and launch the unique financial products. In general, the application of NLP not only strengthens the internal connectivity of the financial sector, but also lays a solid foundation for the intelligence and individuation of financial services.
KEYWORDS
Natural language processing technology; financial market analysis; customer service; financial innovationCITE THIS PAPER
Jue Xiao, Jiangshan Wang, Wenqing Bao, Tingting Deng, Shuochen Bi, Application progress of natural language processing technology in financial research. Financial Engineering and Risk Management (2024) Vol. 7: 155-161. DOI: http://dx.doi.org/10.23977/ferm.2024.070320.
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