Metadata-Version: 2.1
Name: dynamic-topic-modeling
Version: 1.0.2
Summary: Run dynamic topic modeling
Home-page: https://github.com/JiaxiangBU/dynamic_topic_modeling
Author: Jiaxiang Li and Shuyi Wang
Author-email: alex.lijiaxiang@foxmail.com
License: Apache Software License 2.0
Description: 
        # dynamic_topic_modeling
        
        > Run dynamic topic modeling.
        
        
        <!-- README.md is generated from README.Rmd. Please edit that file -->
        
        
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        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](https://nbviewer.jupyter.org/urls/jiaxiangbu.github.io/dynamic_topic_modeling/sklearn-lda.ipynb)
        2.  [LDA based on
            gensim](https://nbviewer.jupyter.org/urls/jiaxiangbu.github.io/dynamic_topic_modeling/gensim-lda.ipynb)
        3.  [Dynamic Topic
            Modeling](https://nbviewer.jupyter.org/urls/jiaxiangbu.github.io/dynamic_topic_modeling/dtm.ipynb)
        
        
        ## Install
        
        `pip install dynamic_topic_modeling`
        
        ## How to use
        
        
        1.  [LDA based on
            sklearn](https://nbviewer.jupyter.org/urls/jiaxiangbu.github.io/dynamic_topic_modeling/sklearn-lda.ipynb)
        2.  [LDA based on
            gensim](https://nbviewer.jupyter.org/urls/jiaxiangbu.github.io/dynamic_topic_modeling/gensim-lda.ipynb)
        3.  [Dynamic Topic
            Modeling](https://nbviewer.jupyter.org/urls/jiaxiangbu.github.io/dynamic_topic_modeling/dtm.ipynb)
        
        
        <h4 align="center">
        
        **Code of Conduct**
        
        </h4>
        
        <h6 align="center">
        
        Please note that the `dynamic_topic_modeling` project is released with a
        [Contributor Code of
        Conduct](https://github.com/JiaxiangBU/dynamic_topic_modeling/blob/master/CODE_OF_CONDUCT.md).<br>By
        contributing to this project, you agree to abide by its terms.
        
        </h6>
        
        <h4 align="center">
        
        **License**
        
        </h4>
        
        <h6 align="center">
        
        Apache License (c) [Jiaxiang Li and Shuyi
        Wang](https://github.com/JiaxiangBU/dynamic_topic_modeling/blob/master/LICENSE.md)
        
        </h6>
        
        <div id="refs" class="references">
        
        <div id="ref-Blei2006Dynamic">
        
        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*.
        
        </div>
        
        </div>
        
Keywords: LDA
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
