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Lexos v3.2.0

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@Weiqi97 Weiqi97 released this 26 Aug 18:07
3.2.0
f2655cb

v3.2.0 is the first version of Lexos in Python 3.6.x!

Code base changes:

  • Refactored to a fully modularized code structure (Zhang et al., 2017).
    • Back-end: View, receiver, model structure.
    • Front-end: Flask blueprints.
  • Python 3.6.x code integrated with type hinting.
  • Used Pandas DataFrame as the Doc-Term Matrix data structure.
  • Javascript uses newest ES6 features.
  • All functions handled with AJAX calls.
  • Updated jQuery to v3.x to resolve security problems.

Code quality checks:

  • Python Code Checks:
    • Code style checked with Flake8 (PEP8/PEP257).
    • Unit test with pytest.
    • Doc style checked with PydocStyle.
  • JS Code Checks:
    • Code style checked with ESLint with JavaScript Standard Style.
    • Doc style checked with ESLint JSDoc rules.

New functionalities, front-end redesigns and bug fixes.

  • Added Bootstrap Consensus Tree (BCT) Beta.
  • Added Content/Sentiment Analysis Beta.
  • YouTube video instructions for most tools.
  • Use bootstrap modal for all error messages to be consistent and error messages are clearer than before.
  • Statistics: Added a new plotly box plot and the page layout is re-designed.
  • K-Means: Switched to plotly for 2D-Scatter and Voronoi plots. Added a 3D-Scatter visualization method.
  • Hierarchical Clustering: Switched to plotly library for visualizations.
  • Rolling Window Analysis: Switched to plotly library for the graphing and added support for multiple milestones.
  • Topword: Upgraded presentation of the existing document classes.
  • Added a popover to highlight our In the Margins Scalar book.

Bug fixes

  • In Tokenize section on analyze pages, fixed counts for temporary labels.
  • Fixed spinning issue on Chrome.
  • Fixed TF-IDF normalize options.
  • Fixed download result button on Rolling Window Analysis.
  • Corrected error message when an invalid file is uploaded on upload page.

Other changes

  • Grey word functionality is removed.
  • The "topic clouds" feature in the Multicloud tool, which can be used to analyze data from MALLET-produced topic models, has been temporarily removed. We hope to re-introduce it in the next release.

Citation information

Kleinman, S., LeBlanc, M.D., Drout, M., and Feng, W. (2018). Lexos. v3.2.0 https://github.com/WheatonCS/Lexos/

To see a summary of our refactoring work:
Zhang, C. ’18, Feng, W. ’19, Steffens, E. ’18, de Landaluce, A. ’17, Kleinman, S. and LeBlanc, M.D. (2018). Lexos 2017: Building Reliable Software in Python. The Journal of Computing Sciences in Colleges, v33(6), 124-134.

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