GC-LDA specifications

Unique identifier:
OMICS_23045
Software type:
Application/Script
Restrictions to use:
None
Programming languages:
Python
Stability:
Stable
Name:
Generalized Correspondence Latent Dirichlet Allocation
Interface:
Command line interface
Operating system:
Unix/Linux
Computer skills:
Advanced
Maintained:
Yes

versioning

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No versioning.

GC-LDA distribution

download

GC-LDA support

Maintainer

  • Tal Yarkoni <>

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Credits

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Publications

Institution(s)

Department of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, IN, USA; SurveyMonkey, San Mateo, CA, USA; Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Psychology, Stanford University, Stanford, CA, USA; Department of Psychology, Stanford University, Stanford, CA, USA

Funding source(s)

Supported by National Institute of Mental Health award R01MH096906.

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