Application of Informetrics on Financial Network Text Mining Based on Affective Computing

作者：

Highlights：

• The research of the paper is an expansion of the application field of the informetrics on network text mining.

• This paper constructs a SparkR platform.

• This paper tries to explore the application of affective computing of the online financial text data in predicting the future movement of exchange rate.

摘要

•The research of the paper is an expansion of the application field of the informetrics on network text mining.•This paper constructs a SparkR platform.•This paper tries to explore the application of affective computing of the online financial text data in predicting the future movement of exchange rate.

论文关键词：informetrics,SparkR,Distributed computing,affective computing

论文评审过程：Received 11 August 2021, Revised 2 November 2021, Accepted 9 November 2021, Available online 3 December 2021, Version of Record 3 December 2021.

论文官网地址：https://doi.org/10.1016/j.ipm.2021.102822