LitStudy

doi:10.5281/zenodo.3386071

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LitStudy

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

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Cite this software

DOI:

10.5281/zenodo.3386071

Description

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.