This study expands the inventory of green job titles by incorporating a global perspective and using contemporary sources. It leverages natural language processing, specifically a retrieval-augmented generation model, to identify green job titles. The process began with a search of academic literature published after 2008 using the official APIs of Scopus and Web of Science. The search yielded 1,067 articles, from which 695 unique potential green...
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详细
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2024/09/16
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政策研究报告
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WPS10908
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1
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2024/09/16
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Disclosed
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Identification of an Expanded Inventory of Green Job Titles through AI-Driven Text Mining