dynamic.topic.modeling 1.1.0

• Added a NEWS.md file to track changes to the package.
• Add citations, and cited repositories.
• Add title for each notebooks
• Add the functions of ‘display_topic’, ‘document_influence_dim’, ‘topic_distribution’, ‘visualize_topics’, ‘make_df’.
• Update desc for release.
• Update visualization for topic evolution
  1. document the function of ‘visualize_topics’,
  2. keep repo compact,
  3. add rmd for visualization for topic evolutions,
  4. update the word ones,
  5. output the topic evolution figure,
  6. update the word evolution figure,
  7. update dtm model file,
  8. update the dtm model data frame file,
• Update the word evolution.
• Finish topic evolution and outpput the result.
• Finish the word evolution viz part.
• Finish the function of ‘display_topic’, add the author of visualization parts, output the word distribution.
• Update keywords.
• Add pypi badge.
• Update makefile
• Update index.md, index.ipynb
• Upload pacakges
• Update readme with examples and references.
• Update license, add settings.ini, setup.py, index.ipynb, and docs.
• Add the file built for package.
• Copy file from ‘wei_lda_debate’

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 ‘dynamic_topic_modeling’, so this reposority will be updated and ‘wei_lda_debate’ is depreciated. The new reposority path is https://github.com/JiaxiangBU/dynamic_topic_modeling.git.

To build this package, I borrow from

1. ‘wei_lda_debate’(Wang 2018) to build LDA framework

2. ‘dtmvisual’(Svitlana 2019) to build the visualization framework

3. LDA based on sklearn

4. LDA based on gensim

5. Dynamic Topic Modeling

Jiaxiang Li. (2020, February 9). JiaxiangBU/dynamic_topic_modeling: dynamic_topic_modeling 1.1.0 (Version v1.1.0). Zenodo. http://doi.org/10.5281/zenodo.3660401

@software{jiaxiang_li_2020_3660401,
  author       = {Jiaxiang Li},
  title        = {{JiaxiangBU/dynamic_topic_modeling: 
                   dynamic_topic_modeling 1.1.0}},
  month        = feb,
  year         = 2020,
  publisher    = {Zenodo},
  version      = {v1.1.0},
  doi          = {10.5281/zenodo.3660401},
  url          = {https://doi.org/10.5281/zenodo.3660401}
}

If you use dynamic_topic_modeling, I would be very grateful if you can add a citation in your published work. By citing dynamic_topic_modeling, beyond acknowledging the work, you contribute to make it more visible and guarantee its growing and sustainability. For citation, please use the BibTex or the citation content.

@software{jiaxiang_li_2020_3660401,
  author       = {Jiaxiang Li},
  title        = {{JiaxiangBU/dynamic\_topic\_modeling: 
                   dynamic\_topic\_modeling 1.1.0}},
  month        = feb,
  year         = 2020,
  publisher    = {Zenodo},
  version      = {v1.1.0},
  doi          = {10.5281/zenodo.3660401},
  url          = {https://doi.org/10.5281/zenodo.3660401}
}