Package 'text2sdgData' reference manual

Package 'text2sdgData'

Title:	Contains the Trained 'text2sdg' Ensemble Model Data
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] (ORCID: <https://orcid.org/0000-0002-3999-1388>)
Maintainer:	Dominik S. Meier <[email protected]>
License:	GPL (>= 3)
Version:	0.1.1
Built:	2026-05-17 09:48:50 UTC
Source:	https://github.com/psychobas/text2sdgdata

Title:

Contains the Trained 'text2sdg' Ensemble Model Data

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] (ORCID: <https://orcid.org/0000-0002-3999-1388>)

Maintainer:

Dominik S. Meier <[email protected]>

License:

GPL (>= 3)

Version:

0.1.1

Built:

2026-05-17 09:48:50 UTC

Source:

https://github.com/psychobas/text2sdgdata

Help Index

A list of trained `ranger::ranger()` random forest models that are used by the text2sdg `detect_sdg()` function.

Description

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.

Usage

ensembles
ensembles

Format

An object of class list of length 4.

Source

Wulff, D. U., Meier, D., & Mata, R. (2023). Using novel data and ensemble models to improve automated SDG-labeling. arXiv