探索智能城市合作者的不同兴趣:使用LDA和BERT进行主题分析
1Integrated Major in Smart City Global Convergence, Technology Management Economics and Policy Program (TEMEP), Seoul National University, Seoul, South Korea.
Heliyon
|May 7, 2024
概括
这项研究分析了学术界,工业界和政府的智能城市研究主题. 调查结果显示,需要平衡对技术的关注与治理,环境和医疗保健,以实现未来的智能城市发展.
科学领域:
- 城市研究 城市研究
- 信息科学 信息科学 信息科学
- 技术管理 技术管理
背景情况:
- 城市化带来了复杂的挑战,需要创新的解决方案.
- 智慧城市为解决城市问题提供了一个有前途的框架.
- 现有的研究往往缺乏对各种智能城市利益相关者的整体观点.
研究的目的:
- 通过分析各种利益相关者的贡献,确定智能城市的关键研究主题.
- 为平衡的智慧城市发展提出未来的研究方向.
- 为了解决研究的稀缺性,考虑多个合作者.
主要方法:
- 潜在的迪里克莱特分配 (LDA) 用于主题建模.
- 来自变压器的双向编码器表示 (BERT) 用于文本分析.
- 作周期分析以评估研究趋势和公众期望.
主要成果:
- 可持续性和数字平台在学术界,工业界和政府中表现出高度兴趣.
- 治理,资源管理和绿色空间的重点不如技术.
- 智慧城市的增长在2015-2021年间达到顶峰,随后的放缓表明需要创新.
结论:
- 在智能城市合作者之间,研究主题的分布存在显著的不平衡.
- 未来的发展需要更多地关注管理,环境,经济和医疗保健等代表性不足的领域.
- 调查结果为研究人员,政策制定者和行业提供了可操作的见解,以促进全面的智能城市发展.
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