关键词: 金融科技, 信息经济学, 专利分析, 机器学习

Abstract: [Purpose/significance] FinTech has developed rapidly in the information and data era, and the number of patents has continued to increase. At the same time, its field crossover and blurred borders characteristics have also increased the difficulty of patent analysis. Therefore, it is necessary to construct a suitable identification and classification method, so as to accurately and efficiently process the continuously growing large volume data. [Method/process] This paper firstly sorted out the innovation categories based on the connotation and function of FinTech, and thus clarified the scope and boundaries of FinTech patents. Then, it constructed a FinTech patent recognition and classification model based on machine learning algorithms, combining text filtering and manual interpretation. [Result/conclusion] This paper proposes a patent recognition and classification process, based on machine learning algorithms, which is more accurately and efficiently. By analyzing the obtained FinTech patent classification data, the research also summarizes the current FinTech development status.

Key words: FinTech, information economics, patent analysis, machine learning