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Latent Dirichlet allocation (LDA) for topic modeling of the CFPB consumer complaints

  • Published:2019-08 Issue: Volume:127 Page:256-271
  • ISSN:0957-4174
  • Container-title:Expert Systems with Applications
  • language:en
  • Short-container-title:Expert Systems with Applications

Author:

Bastani Kaveh,Namavari Hamed,Shaffer Jeffrey

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference26 articles.

1. Mining text data;Aggarwal,2012

2. The utility of hierarchical Dirichlet process for relationship detection of latent constructs;Asgari,2017

3. Skeletons in the database: an early analysis of the CFPB's consumer complaints;Ayres;Fordham Journal of Corporate & Financial Law,2013

4. Understanding satisfied and dissatisfied hotel customers: Text mining of online hotel reviews;Berezina;Journal of Hospitality Marketing & Management,2016

5. Latent Dirichlet allocation;Blei;Journal of Machine Learning Research,2003

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