Identification of an Expanded Inventory of Green Job Titles through AI-Driven Text Mining (Английский)

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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ПОДРОБНАЯ ИНФОРМАЦИЯ

  • Palinski,Michal;
    Asik,Günes;
    Gajderowicz,Tomasz;
    Jakubowski,Maciej;
    Efsan Nas Ozen;
    Dhushyanth Raju;

  • 2024/09/16

  • Рабочий документ в рамках исследования вопросов политики

  • WPS10908

  • 1

  • Весь мир,

  • Прочее,

  • 2024/09/16

  • Disclosed

  • Identification of an Expanded Inventory of Green Job Titles through AI-Driven Text Mining

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