论文标题
金融科技应用中的NLP：过去，现在和未来
NLP in FinTech Applications: Past, Present and Future
论文作者
论文摘要
根据Google Trends的Fintech统计数据，金融技术（Fintech）是过去五年中全球迅速发展的主题之一。在该职位上，我们专注于在金融领域应用自然语言处理（NLP）技术的研究。我们的目标是指出我们现在的位置，并为将来的研究提供蓝图。我们从包括了解您的客户（KYC），了解您的产品（KYP）并满足您的客户（SYC）在内的三个方面浏览了应用程序方案。正式文档和非正式文本数据都经过分析，以了解企业客户和个人客户。此外，我们讨论了如何从潜在客户和风险观点中动态更新产品的功能。最后，我们讨论满足B2C和C2C业务模型中客户的满足。在总结了过去和最近的挑战之后，我们重点介绍了金融科技趋势和开放财务趋势的几个有希望的未来研究方向。
Financial Technology (FinTech) is one of the worldwide rapidly-rising topics in the past five years according to the statistics of FinTech from Google Trends. In this position paper, we focus on the researches applying natural language processing (NLP) technologies in the finance domain. Our goal is to indicate the position we are now and provide the blueprint for future researches. We go through the application scenarios from three aspects including Know Your Customer (KYC), Know Your Product (KYP), and Satisfy Your Customer (SYC). Both formal documents and informal textual data are analyzed to understand corporate customers and personal customers. Furthermore, we talk over how to dynamically update the features of products from the prospect and the risk points of view. Finally, we discuss satisfying the customers in both B2C and C2C business models. After summarizing the past and the recent challenges, we highlight several promising future research directions in the trend of FinTech and the open finance tendency.
