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The package paper is on JOSS!
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Yingjie4Science committed Apr 12, 2023
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2 changes: 2 additions & 0 deletions DESCRIPTION
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person("Jianguo", "Liu", email = "[email protected]", role = "aut", comment = c(ORCID = "0000-0001-6344-0087"))
)
Description: Identify 17 Sustainable Development Goals and associated 169 targets in text.
URL: https://github.com/Yingjie4Science/SDGdetector
BugReports: https://github.com/Yingjie4Science/SDGdetector/issues
Imports:
dplyr,
magrittr,
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12 changes: 7 additions & 5 deletions README.md
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[![CRAN downloadcount](https://cranlogs.r-pkg.org/badges/grand-total/SDGdetector)](https://cranlogs.r-pkg.org/badges/grand-total/SDGdetector)
[![CRAN downloadcount](https://cranlogs.r-pkg.org/badges/SDGdetector)](https://cranlogs.r-pkg.org/badges/SDGdetector)
![Visitor Badge](https://visitor-badge.laobi.icu/badge?page_id=yingjieli.visitor-badge)
[![DOI](https://joss.theoj.org/papers/10.21105/joss.05124/status.svg)](https://doi.org/10.21105/joss.05124)

<p align="center">
<img src="./docs/images/SDG_detector.png" width="300" height="300"/>
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```
To cite SDGdetector in publications, please use:
Li et al. (2023). SDGdetector: an R-based text mining tool for quantifying efforts toward Sustainable Development Goals. Journal of Open Source Software, 0(0), 6 PAGE.
https://doi.org/10.xxxxxx/draft.
Li et al. (2023). SDGdetector: an R-based text mining tool for quantifying efforts toward Sustainable Development Goals. Journal of Open Source Software 8, 5124.
https://doi.org/10.21105/joss.05124.
A BibTeX entry for LaTeX users is
@Article{,
title = {SDGdetector: an R-based text mining tool for quantifying efforts toward Sustainable Development Goals},
author = {Yingjie Li and Veronica F. Frans and Yongze Song and Meng Cai and Yuqian Zhang and Jianguo Liu},
journal = {Journal of Open Source Software},
doi = {10.21105/joss.05124},
year = {2023},
volume = {1},
number = {1},
pages = {6},
volume = {8},
number = {84},
pages = {5124},
url = {https://github.com/Yingjie4Science/SDGdetector},
}
```
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