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Run dynamic topic modeling

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dynamic_topic_modeling

Run dynamic topic modeling.

The goal of wei_lda_debate is to build Latent Dirichlet Allocation models based on sklearn and gensim framework, and Dynamic Topic Model(Blei and Lafferty 2006) based on gensim framework. I decide to build a Python package, so this reposority will be updated. The new reposority path is https://github.com/JiaxiangBU/dynamic_topic_modeling.git.

  1. LDA based on sklearn
  2. LDA based on gensim
  3. Dynamic Topic Modeling

Install

pip install dynamic_topic_modeling

How to use

  1. LDA based on sklearn
  2. LDA based on gensim
  3. Dynamic Topic Modeling

Code of Conduct

Please note that the dynamic_topic_modeling project is released with a Contributor Code of Conduct.
By contributing to this project, you agree to abide by its terms.

License

Apache License 漏 Jiaxiang Li and Shuyi Wang

Blei, David M., and John D. Lafferty. 2006. "Dynamic Topic Models." In Machine Learning, Proceedings of the Twenty-Third International Conference (Icml 2006), Pittsburgh, Pennsylvania, Usa, June 25-29, 2006.

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dynamic_topic_modeling-1.0.1-py3-none-any.whl (9.0 kB view hashes)

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