Latent Dirichlet allocation (LDA) is a topic model that generates topics based on word frequency from a set of documents. LDA is particularly useful for finding reasonably accurate mixtures of topics within a given document set.
Installation
The library is available on PyPI:
pip install simple-lda
Sources
1 maintainer
Metadata
1 maintainer
Release files for simple-lda 0.3.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| simple-lda-0.3.0.tar.gz | 15.4 kB | Details |
Release files / simple-lda-0.3.0.tar.gz
| Download URL | simple-lda-0.3.0.tar.gz |
|---|---|
| Size | 15.4 kB |
| Tags | Source |
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twine/1.9.1 pkginfo/1.4.1 requests/2.18.4 setuptools/36.5.0.post20170921 requests-toolbelt/0.8.0 tqdm/4.19.5 CPython/3.6.3
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