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Bayesian LDA for mixed-membership clustering analysis: The Rlda package

  • Published:2019-01 Issue: Volume:163 Page:988-995
  • ISSN:0950-7051
  • Container-title:Knowledge-Based Systems
  • language:en
  • Short-container-title:Knowledge-Based Systems

Author:

Albuquerque Pedro H.M.,do Valle Denis Ribeiro,Li Daijiang

Funder

US Department of Agriculture

National Institute of Food and Agriculture

US National Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference34 articles.

1. Latent dirichlet allocation;Blei;J. Mach. Learn. Res.,2003

2. Finding scientific topics;Griffiths;Proc. Natl Acad. Sci.,2004

3. Text analysis tools for identification of emerging topics and research gaps in conservation science;Westgate;Conserv. Biol.,2015

4. Semantic annotation of satellite images using latent dirichlet allocation;Lienou;IEEE Geosci. Remote Sens. Lett.,2010

5. Mining marketing meaning from online chatter: Strategic brand analysis of big data using latent dirichlet allocation;Tirunillai;J. Mark. Res.,2014

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