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evoText: A new tool for analyzing the biological sciences.

Grant Ramsey1, Charles H Pence2

  • 1KU Leuven, Institute of Philosophy, BE-3000 Leuven, Belgium.

Studies in History and Philosophy of Biological and Biomedical Sciences
|May 4, 2016
PubMed
Summary
This summary is machine-generated.

We present evoText, a novel tool for automated analysis of biological literature. This system aids in quantitative research on life science history, particularly in ecology and evolutionary biology.

Keywords:
BiologyDigital humanitiesHistory of biologyHistory of sciencePhilosophy of biologyPhilosophy of scienceSoftwareText analysis

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Area of Science:

  • Biological Sciences
  • Ecology
  • Evolutionary Biology

Background:

  • The analysis of scientific literature is crucial for understanding research trends.
  • Quantitative methods can reveal patterns in the history of biological sciences.

Purpose of the Study:

  • Introduce evoText, a new tool for automated literature analysis.
  • Demonstrate the utility of evoText for quantitative research in life sciences.
  • Provide a tutorial for using evoText.

Main Methods:

  • Developed evoText, a tool with a database of numerous journal articles.
  • Integrated various analysis tools for quantitative data generation.
  • Designed evoText for ease of use and comprehensive analysis.

Main Results:

  • evoText facilitates automated analysis of biological literature.
  • The tool enables quantitative data generation on life science history.
  • Examples showcase analyses in ecology and evolutionary biology.

Conclusions:

  • evoText is a valuable resource for researchers in biological sciences.
  • Automated analysis tools like evoText can advance ecological and evolutionary studies.
  • The described features and tutorial aim to promote evoText adoption.