Comprehensive review of text-mining applications in finance

Aaryan Gupta, Vinya Dengre, Hamza Abubakar Kheruwala and Manan Shah ()
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Aaryan Gupta: Nirma University
Vinya Dengre: Nirma University
Hamza Abubakar Kheruwala: Nirma University
Manan Shah: Pandit Deendayal Petroleum University

Financial Innovation, 2020, vol. 6, issue 1, 1-25

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.

Keywords: Text mining; Machine learning; Financial forecasting; Sentiment analysis; Text classification; Corporate finance (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (16)

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DOI: 10.1186/s40854-020-00205-1

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