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Comprehensive review of text-mining applications in finance

Authors :
Aaryan Gupta
Vinya Dengre
Hamza Abubakar Kheruwala
Manan Shah
Source :
Financial Innovation, Vol 6, Iss 1, Pp 1-25 (2020)
Publication Year :
2020
Publisher :
SpringerOpen, 2020.

Abstract

Abstract Text-mining technologies have substantially affected financial industries. As the data in every sector of finance have grown immensely, text mining has emerged as an important field of research in the domain of finance. Therefore, reviewing the recent literature on text-mining applications in finance can be useful for identifying areas for further research. This paper focuses on the text-mining literature related to financial forecasting, banking, and corporate finance. It also analyses the existing literature on text mining in financial applications and provides a summary of some recent studies. Finally, the paper briefly discusses various text-mining methods being applied in the financial domain, the challenges faced in these applications, and the future scope of text mining in finance.

Details

Language :
English
ISSN :
21994730
Volume :
6
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Financial Innovation
Publication Type :
Academic Journal
Accession number :
edsdoj.1c7eaeee355747ad994c9342d8606562
Document Type :
article
Full Text :
https://doi.org/10.1186/s40854-020-00205-1