Supervised machine learning for text analysis in R E Hvitfeldt, J Silge Chapman and Hall/CRC, 2021 | 68 | 2021 |
yardstick: Tidy characterizations of model performance M Kuhn, D Vaughan, E Hvitfeldt R package Version 0.0 8, 2021 | 62 | 2021 |
tidytext: Text Mining using'dplyr','ggplot2', and Other Tidy Tools G De Queiroz, C Fay, E Hvitfeldt, O Keyes, K Misra, T Mastny, J Erickson, ... R package version 0.2, 2019 | 20 | 2019 |
paletteer: Comprehensive Collection of Color Palettes E Hvitfeldt R package version 0.2.1, 2019 | 19 | 2019 |
themis: Extra recipes steps for dealing with unbalanced data E Hvitfeldt R Package Version 0.1. 0, 2022 | 17 | 2022 |
Recipes: preprocessing and feature engineering steps for modeling M Kuhn, H Wickham, E Hvitfeldt R Package Version 1 (1), 2022 | 16 | 2022 |
Yardstick: Tidy Characterizations of Model Performance. 2022 M Kuhn, D Vaughan, E Hvitfeldt URL https://CRAN. R-project. org/package= yardstick. R package version 0.0 7 …, 0 | 13 | |
Textdata: Download and load various text datasets E Hvitfeldt, J Silge R Package Version 0.4 1, 2020 | 12 | 2020 |
Themis: Extra Recipes Steps for Dealing with Unbalanced Data. 2022 E Hvitfeldt | 6 | |
lime: Local Interpretable Model-Agnostic Explanations E Hvitfeldt, TL Pedersen, M Benesty R package version 0.5, 2022 | 5 | 2022 |
R: Package “tidytext.” J Silge, G De Queiroz, O Keyes, D Robinson, J Erickson, K Misra, ... Retrieved January 1, 2018, 2018 | 5 | 2018 |
Package ‘tidytext.’ G De Queiroz, C Fay, E Hvitfeldt, O Keyes, K Misra, T Mastny | 4 | 2022 |
Package ‘embed’ E Hvitfeldt, M Kuhn, ME Hvitfeldt | | 2024 |
Package ‘lime’ E Hvitfeldt, TL Pedersen, M Benesty | | 2022 |
IndrajeetPatil/ggstatsplot: default to theme_ggstatsplot; bug fix in ggcoefstats for chi2 I Patil, C Powell, W Beasley, D Heck, M Mahoney, C Soneson, E Hvitfeldt, ... Zenodo, 0 | | |