A Study on the Development of SDGs Implementation Analysis System at Universities Based on NLP

Ha Jin Kwon, Hye Ju Yun, Hyun Bin Jin, Ji Eun Lee, Ju-Young Lee, Sang Hoon Oh, Kwang Wook Seo,Se Jong Oh,Ill Chul Doo

Advances in Computer Science and Ubiquitous Computing(2023)

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Abstract
This paper presents the SDGs performance status analysis system of universities based on deep learning techniques. Using BERT, the classification of cases corresponding to individual goals was carried out, and TextRank was used to extract keywords for transition cases between overseas universities and domestic universities. Using TF-IDF and cosine similarities, we present examples of overseas universities’ SDGs activities that domestic universities can refer to. As a result, we analyzed the current status of SDGs at each university and presented overseas examples that could be further referenced, and created a website that would be helpful for SDGs transition at domestic universities.
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Key words
Sustainable Development Goals, BERT, NLP
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