litstudy

Analyze scientific literature using Python from the comfort of a Jupyter notebook

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243 commits | Last update: May 16, 2022

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What litstudy can do for you

  • Extract metadata of scientific document from various sources
  • Filter, select, deduplicate and annotate document sets
  • Compute and plot general statistics of document sets
  • Generate and visualize various bibliographic networks
  • Automatic topic discovery based on natural language processing

litstudy is a Python package that allows analysis of scientific literature from the comfort of a Jypyter notebook. It enables selecting scientific publications and study their metadata using visualizations, network analysis, and natural language processing.

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Tags
  • Visualization
  • Text analysis & natural language processing
  • Inter-operability & linked data
Programming Language
  • Python
License
  • Apache-2.0
Source code

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Contributors

  • Stijn Heldens
    Netherlands eScience Center
  • Alessio Sclocco
    Netherlands eScience Center
  • Henk Dreuning
    University of Amsterdam
Contact person
Stijn Heldens
Netherlands eScience Center
Mail Stijn

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