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Title: Extension for COVID-19 related datasets in ASReview

Type Software Van de Schoot, Rens, De Bruin, Jonathan, Schram, Raoul, Zahedi, Parisa, De Boer, Jan, Weijdema, Felix, Kramer, Bianca, Huijts, Martijn, Ferdinands, Gerbrich, Harkema, Albert, Fang, Qixiang, Oberski, Daniel (2022): Extension for COVID-19 related datasets in ASReview. Zenodo. Software. https://zenodo.org/record/6407784

Authors: Van de Schoot, Rens (Department of Psychology, Utrecht University) ; De Bruin, Jonathan (Utrecht University) ; Schram, Raoul (Utrecht University) ; Zahedi, Parisa (Utrecht University) ; De Boer, Jan (Utrecht University) ; Weijdema, Felix (Utrecht University) ; Kramer, Bianca (Utrecht University) ; Huijts, Martijn (Utrecht University) ; Ferdinands, Gerbrich (Utrecht University) ; Harkema, Albert (Utrecht University) ; Fang, Qixiang (Utrecht University) ; Oberski, Daniel (Department of Psychology, Utrecht University) ;

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Summary

This pluging for Active learning for Systematic Reviews (ASReview) software extends the software with datasets related to COVID-19 disease (like CORD-19). ASReview implements learning algorithms that interactively query the researcher. This way of interactive training is known as Active Learning. ASReview offers support for classical learning algorithms and state-of-the-art learning algorithms like neural networks. The software ships with an user interface as well as a simulation mode.

More information

  • DOI: 10.5281/zenodo.6407784

Subjects

  • COVID-19, coronavirus, systematic review, prisma, active learning, statistics, machine learning, text data, CORD-19

Dates

  • Publication date: 2022
  • Issued: April 02, 2022

Rights


Much of the data past this point we don't have good examples of yet. Please share in #rdi slack if you have good examples for anything that appears below. Thanks!

Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
IsSupplementTohttps://github.com/asreview/asreview-covid19/tree/v0.9.4
IsVersionOfhttps://doi.org/10.5281/zenodo.3764749
IsPartOfhttps://zenodo.org/communities/covid-19
IsPartOfhttps://zenodo.org/communities/zenodo