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GitHub / ArtificiAI / Multilingual-Latent-Dirichlet-Allocation-LDA
A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.
Stars: 81
Forks: 29
Open Issues: 0
License: mit
Language: Python
Repo Size: 81.1 KB
Dependencies:
18
Created: over 5 years ago
Updated: about 1 month ago
Last pushed: 4 months ago
Last synced: 26 days ago
Topics: clustering, english, french, latent-dirichlet-allocation, lda, machine-learning, multilingual, natural-language-processing
Files
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Readme
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Dependencies
requirements.txt
pypi
- PyStemmer ==2.0.1
- chardet ==3.0.4
- cycler ==0.10
- kiwisolver ==1.0.1
- matplotlib ==3.2.2
- numpy ==1.19.1
- pandas ==1.1.0
- pyparsing ==2.0.1
- pytest ==4.0.1
- pytest-cov ==2.6.0
- python-dateutil ==2.7.3
- pytz ==2017.2
- scikit_learn ==0.23.2
- scipy ==1.5.2
- snowballstemmer ==2.0.0
- translitcodec ==0.5.2
.github/workflows/python-app.yml
actions
- actions/checkout v3 composite
- actions/setup-python v3 composite
setup.py
pypi