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

@article{Moro2015BusinessII,
  title={Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation},
  author={S. Moro and P. Cortez and P. Rita},
  journal={Expert Syst. Appl.},
  year={2015},
  volume={42},
  pages={1314-1324}
}
  • S. Moro, P. Cortez, P. Rita
  • Published 2015
  • Computer Science
  • Expert Syst. Appl.
  • A recent review on the application of business intelligence to the banking domain. [...] Key Method To analyze such a large number of manuscripts, text mining techniques were used in pursuit for relevant terms on both business intelligence and banking domains. Moreover, the latent Dirichlet allocation modeling was used in order to group articles in several relevant topics. The analysis was conducted using a dictionary of terms belonging to both banking and business intelligence domains. Such procedure allowed…Expand Abstract
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