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LitStudy

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

10
mentions
7
contributors

Cite this software

What LitStudy can do for you

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LitStudy is a Python package that enables analysis of scientific literature from the comfort of a Jupyter notebook. It provides the ability to select scientific publications and study their metadata through the use of visualizations, network analysis, and natural language processing.

In essence, this package offers five main features:

  • Extract metadata from scientific documents from various data sources. The data is presented in a standardized interface, allowing for the combination of data from different sources.
  • Filter, select, deduplicate, and annotate collections of documents.
  • Compute and plot general statistics for document sets, such as statistics on authors, venues, and publication years.
  • Generate and plot various bibliographic networks as interactive visualizations.
  • Topic discovery using natural language processing (NLP) allows for the automatic discovery of popular topics.
Keywords
Programming languages
  • Python 69%
  • HTML 31%
License
  • Apache-2.0
</>Source code
Packages
pypi.org

Participating organisations

Social Sciences & Humanities
Social Sciences & Humanities
Netherlands eScience Center
University of Amsterdam

Reference papers

Mentions

Contributors

Contact person

Stijn Heldens

Stijn Heldens

Netherlands eScience Center
Mail Stijn
Ben van Werkhoven
Ben van Werkhoven
HD
Henk Dreuning
University of Amsterdam
Rob van Nieuwpoort
Rob van Nieuwpoort
Stijn Heldens
Stijn Heldens
Netherlands eScience Center

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Updated 16 months ago
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