Title: | Contains the Trained 'text2sdg' Ensemble Model Data |
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Description: | This is a companion package for the 'text2sdg' package. It contains the trained ensemble models needed by the 'detect_sdg' function from the 'text2sdg' package. See Wulff, Meier and Mata (2023) <arXiv:2301.11353> and Meier, Wulff and Mata (2021) <arXiv:2110.05856> for reference. |
Authors: | Dominik S. Meier [aut, cre] |
Maintainer: | Dominik S. Meier <[email protected]> |
License: | GPL (>= 3) |
Version: | 0.1.1 |
Built: | 2025-02-17 04:14:20 UTC |
Source: | https://github.com/psychobas/text2sdgdata |
ranger::ranger()
random forest models that are used by the text2sdg detect_sdg()
function.Ensemble models based on a random forest architecture that pools the predictions of six labeling systems generated using the detect_sdg_systems()
function from the text2sdg package and also considers text length.
ensembles
ensembles
An object of class list
of length 4.
Wulff, D. U., Meier, D., & Mata, R. (2023). Using novel data and ensemble models to improve automated SDG-labeling. arXiv