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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.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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