Comprehensive review of text-mining applications in finance

Financial Innovation

Manan Shah¹  Hamza Abubakar Kheruwala²  Aaryan Gupta²  Vinya Dengre² 

[1] Department of Chemical Engineering, School of Technology, Pandit Deendayal Petroleum University, 382007, Gandhinagar, Gujarat, India;Department of Computer Science, Nirma University, Ahmedabad, Gujarat, India;

关键词: Text mining;    Machine learning;    Financial forecasting;    Sentiment analysis;    Text classification;    Corporate finance;   

DOI  :  10.1186/s40854-020-00205-1

来源: Springer

【 摘 要 】

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.

【 授权许可】

CC BY