通过科学文献的文本挖掘来识别循环经济范式中的技术
Vito Giordano1,2, Alessio Castagnoli1, Isabella Pecorini1
1Department of Energy, Systems, Territory, and Construction Engineering, Pisa, Italy.
PloS one
|December 27, 2024
概括
技术创新推动了循环经济,提供了效率和社会利益. 本研究使用自然语言处理 (NLP) 来绘制科学文献中关键的循环经济技术和挑战.
科学领域:
- 循环经济是一个循环经济.
- 技术创新技术创新技术创新
- 可持续的做法 可持续的做法
背景情况:
- 技术创新对于推进循环经济 (CE) 实践至关重要.
- 现有的研究往往忽略了各种技术领域,重点关注数字解决方案.
- 当前的方法可能会通过依赖文献评论和专家意见来引入偏见.
研究的目的:
- 调查循环经济的技术格局.
- 识别EC行业内的关键技术和管理挑战.
- 提供对这些技术的工业采用和实施的见解.
主要方法:
- 利用自然语言处理 (NLP) 来分析超过45,000个科学出版物.
- 提取和分类科学文章中提到的技术.
- 检查了与管理这些技术相关的主要挑战.
主要成果:
- 揭示了对数字技术,生命周期评估和生物材料的重大强调.
- 在循环经济领域内确定了七个不同的技术领域.
- 详细介绍了在工业环境中采用技术的优缺点.
结论:
- NLP分析提供了CE技术格局的全面概述.
- 强调需要在数字解决方案之外探索更广泛的技术范围.
- 为循环经济的工业实施和政策制定提供了宝贵的见解.
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