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.

中文翻译：

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金融中文本挖掘应用的综合回顾

文本挖掘技术对金融业产生了重大影响。随着金融各个领域的数据大幅增长，文本挖掘已成为金融领域的一个重要研究领域。因此，回顾金融领域文本挖掘应用的最新文献，有助于确定进一步研究的领域。本文侧重于与金融预测、银行和公司金融相关的文本挖掘文献。它还分析了金融应用中文本挖掘的现有文献，并总结了一些最近的研究。最后，本文简要讨论了金融领域中应用的各种文本挖掘方法、这些应用面临的挑战以及文本挖掘在金融领域的未来范围。