Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation

作者：

Highlights：

• A recent review on the application of business intelligence to the banking domain.

• Coverage of the last twelve years of scientific literature on those subjects.

• Usage of text mining and the latent Dirichlet allocation to analyze articles.

• Provide new insights and future research trends which may benefit banking business.

摘要

•A recent review on the application of business intelligence to the banking domain.•Coverage of the last twelve years of scientific literature on those subjects.•Usage of text mining and the latent Dirichlet allocation to analyze articles.•Provide new insights and future research trends which may benefit banking business.

论文关键词：Banking,Business intelligence,Data mining,Text mining,Decision support systems

论文评审过程：Available online 29 September 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.09.024