文献类型：期刊文献

英文题名：Understanding the landscape of a modern Chinese city and summer resort from a missionary's perspective: text mining 'Beard Family Papers' via large language models

作者：Lin, Yinan[1];Feng, Yujiao[1];Li, Jing[1];MacInnis, Elyn[2];Yang, Chen[3]

机构：[1]East China Univ Sci & Technol, Dept Landscape Architecture, Shanghai, Peoples R China;[2]Kuliang Tourism & Culture Res Assoc, Kuliang Families Grp, Fuzhou, Peoples R China;[3]Tongji Univ, Dept Landscape Architecture, Shanghai, Peoples R China

年份：2025

卷号：50

期号：6

起止页码：1007

外文期刊名：LANDSCAPE RESEARCH

收录：;WOS:【SSCI(收录号:WOS:001469038100001)】；

基金：This work was supported by the Humanities and Social Science Fund of Ministry of Education of China (20YJC760054) and the Fundamental Research Funds for the Central Universities (JKZ02252202).

语种：英文

外文关键词：Cultural landscape; summer resort; landscape perception; large language modelling; textual analysis

摘要：AI-based text mining can be used to analyse the unstructured text of personal memories but has seldom been used in landscape research. Taking the example of Willard Livingston Beard, an important American missionary in Fuzhou, China, in the 19th and early 20th centuries, this research employs large language model (LLM) technology, including named entity recognition (NER), semantic and sentiment analysis (SA), and topic recognition (TR), to trace his footsteps through family letters and the sentiments expressed in his landscape descriptions. The results clearly reveal how the landscape of the summer resort served this missionary as a gazing object, social space, and 'recharging station', providing spiritual renewal. This research proves that, in the interpretation and explanation of landscape descriptions, AI tools significantly outperform traditional desk-based tools in terms of efficiency and consistency but rely on model training and validity testing. The results provide innovative referecess data for understanding the meaning of landscapes.