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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}
}
Tags
One-class SVM Unsupervised Document Classification One-class Document Classification LDA Topic Modelling Out-of-domain Training Data
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This work is licensed under a Creative Commons Attribution 4.0 International License.
