AuDoLab: Automatic document labelling and classification for extremely unbalanced data

Python PowerShell Submitted 27 August 2021Published 19 October 2021
Review

Editor: @arfon (all papers)
Reviewers: @linuxscout (all reviews), @pps121 (all reviews)

Authors

Arne Tillmann, Anton Thielmann, Gillian Kant, Christoph Weisser, Benjamin Säfken, Alexander Silbersdorff, Thomas Kneib

Citation

Tillmann et al., (2021). AuDoLab: Automatic document labelling and classification for extremely unbalanced data. Journal of Open Source Software, 6(66), 3719, https://doi.org/10.21105/joss.03719

@article{Tillmann2021, doi = {10.21105/joss.03719}, url = {https://doi.org/10.21105/joss.03719}, year = {2021}, publisher = {The Open Journal}, volume = {6}, number = {66}, pages = {3719}, author = {Arne Tillmann and Anton Thielmann and Gillian Kant and Christoph Weisser and Benjamin Säfken and Alexander Silbersdorff and Thomas Kneib}, title = {AuDoLab: Automatic document labelling and classification for extremely unbalanced data}, journal = {Journal of Open Source Software} }
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One-class SVM Unsupervised Document Classification One-class Document Classification LDA Topic Modelling Out-of-domain Training Data

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ISSN 2475-9066