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  • 标题:Leveraging artificial intelligence to analyze citizens’ opinions on urban green space
  • 本地全文:下载
  • 作者:Mohammadhossein Ghahramani ; Nadina J. Galle ; Fábio Duarte
  • 期刊名称:City and Environment Interactions
  • 印刷版ISSN:2590-2520
  • 出版年度:2021
  • 卷号:10
  • 页码:100058
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Continued population growth and urbanization is shifting research to consider the quality of urban green space over the quantity of these parks, woods, and wetlands. The quality of urban green space has been hitherto measured by expert assessments, including in-situ observations, surveys, and remote sensing analyses. Location data platforms, such as TripAdvisor, can provide people’s opinion on many destinations and experiences, including UGS. This paper leverages Artificial Intelligence techniques for opinion mining and text classification using such platform’s reviews as a novel approach to urban green space quality assessments. Natural Language Processing is used to analyze contextual information given supervised scores of words by implementing computational analysis. Such an application can support local authorities and stakeholders in their understanding of–and justification for–future investments in urban green space.
  • 关键词:Sentiment analysis Supervised learning Natural language processing Imbalanced classification
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