OILog: An online incremental log keyword extraction approach based on MDP-LSTM neural network

作者：

Highlights：

• This paper introduces an online incremental keyword extraction approach.

• We proposed an improved PSO algorithm (MDPSO) and use it in deep LSTM (MDP-LSTM).

• We evaluated six optimization algorithms by using six benchmark functions.

• We conducted extensive experimental evaluations on four real log datasets.

摘要

•This paper introduces an online incremental keyword extraction approach.•We proposed an improved PSO algorithm (MDPSO) and use it in deep LSTM (MDP-LSTM).•We evaluated six optimization algorithms by using six benchmark functions.•We conducted extensive experimental evaluations on four real log datasets.

论文关键词：Keyword extraction,Optimization algorithm,Text mining,LSTM,Deep learning

论文评审过程：Received 24 February 2020, Revised 7 July 2020, Accepted 4 August 2020, Available online 14 August 2020, Version of Record 22 August 2020.

论文官网地址：https://doi.org/10.1016/j.is.2020.101618