Comprehensive review of text-mining applications in finance

67Citations
Citations of this article
285Readers
Mendeley users who have this article in their library.

This article is free to access.

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.

Cite

CITATION STYLE

APA

Gupta, A., Dengre, V., Kheruwala, H. A., & Shah, M. (2020, December 1). Comprehensive review of text-mining applications in finance. Financial Innovation. Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1186/s40854-020-00205-1

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free