A brain-inspired information processing algorithm and its application in text classification

作者：

Highlights：

• A new feature extraction algorithm with less human intervention.

• The algorithm is suitable for the input of continuous time-series data.

• The algorithm can work without word segmentation when processing Chinese texts.

• Classification experiment contains 30 anthologies of different Chinese litterateurs.

摘要

•A new feature extraction algorithm with less human intervention.•The algorithm is suitable for the input of continuous time-series data.•The algorithm can work without word segmentation when processing Chinese texts.•Classification experiment contains 30 anthologies of different Chinese litterateurs.

论文关键词：Text classification,Machine learning,Information process

论文评审过程：Received 15 May 2020, Revised 24 February 2021, Accepted 1 March 2021, Available online 11 March 2021, Version of Record 17 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114828