Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals

1 code implementation • 25 Jan 2023 • Dirk U. Wulff, Dominik S. Meier, Rui Mata

A number of labeling systems based on text have been proposed to help monitor work on the United Nations (UN) Sustainable Development Goals (SDGs).

Specificity

text2sdg: An R package to Monitor Sustainable Development Goals from Text

1 code implementation • 12 Oct 2021 • Dominik S. Meier, Rui Mata, Dirk U. Wulff

Monitoring progress on the United Nations Sustainable Development Goals (SDGs) is important for both academic and non-academic organizations.

Estimating the Number of Clusters via Normalized Cluster Instability

2 code implementations • 26 Aug 2016 • Jonas M. B. Haslbeck, Dirk U. Wulff

We improve current instability-based methods for the selection of the number of clusters $k$ in cluster analysis by developing a normalized cluster instability measure that corrects for the distribution of cluster sizes, a previously unaccounted driver of cluster instability.