Work

SDGdetector: an R-based text mining tool for quantifying efforts toward Sustainable Development Goals

Year: 2023

Type: article

Abstract: Li et al., (2023). SDGdetector: an R-based text mining tool for quantifying efforts toward Sustainable Development Goals. Journal of Open Source Software, 8(84), 5124, https://doi.org/10.21105/joss.05124

Source: The Journal of Open Source Software

DOI: 10.21105/joss.05124

Authors: Yingjie Li, Veronica F. Frans, Yongze Song, Meng Cai, Yuqian Zhang, Jianguo Liu

Institutions: Michigan State University, Stanford University, Curtin University, Technische Universität Darmstadt

Language: English

Topic: Computational and Text Analysis Methods

Subfield: General Social Sciences

Field: Social Sciences

Domain: Social Sciences

Open Access status: diamond

Funders: National Science Foundation, Michigan State University, College of Engineering, Michigan State University

Awards: G1432296583, HDR Institute: Geospatial Understanding through an Integrative Discovery Environment, CNH2-L: Uncovering Metacoupled Socio-Environmental Systems

OpenAlex ID: W4365146450

FWCI: 5.402

Cites: 9

Cited by: 13

Related to: 10