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Lexos

Stable release

Please use the most stable release (version 2.0), which is available at https://zenodo.org/record/10956#.VXWcakZWJ-8.

Summary

Lexos is an integrated workflow of tools to facilitate the computational analyses of texts, presented in a web-based interface. Functionality provided includes the ability to "scrub" texts (remove punctuation, lemmatize, consolidate characters, remove stopwords, etc), cut or segment texts, and a suite of options for analysis and visualizations, including creating and downloading Document Term Matrices (DTM) of token counts (both word- and character-ngrams or tf-idf); cluster analysis (hierarchical or k-means, with silhouette scores); rolling-window analyses of substring, word, or regex-pattern occurrences; bubble visualizations (of term frequencies); and word clouds (of term frequencies or MALLET-produced topic modelling results). More functionality is being added on an ongoing basis.

System Architecture (in brief)

Lexos is written primarily in Python 2.7.3 using the Flask microframework, based on Werkzeug and Jinja 2. A heavy dose of Javascript and CSS is included on the front-end. We increasingly incorporate the wiz from D3.js in our visualizations and the power in the scikit-learn modules for text and statistical processing. The directions for setting up the development environment for testing (using localhost:5000) on your local machine are stored in the 0_InstallGuides directory. Please use the most stable release (version 2.0), which is available at https://zenodo.org/record/10956#.VXWcakZWJ-8.

Dependencies

chardet, flask, gensim, matplotlib, numpy, pip, scikit-learn, scipy

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License information

See the file LICENSE for information on the terms & conditions for usage and a DISCLAIMER OF ALL WARRANTIES.

Citation information:

LeBlanc, M.D., Jensen, B., Kleinman, S. (2015). Lexos. v. 2.0. https://github.com/WheatonCS/Lexos/.

Lexos Release 2.0 DOI