首页|Emotional Perceptions on Environmental Ele-ments:A Case Study on Traditional Villages Based on Online Reviews and Machine Learning
Emotional Perceptions on Environmental Ele-ments:A Case Study on Traditional Villages Based on Online Reviews and Machine Learning
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For traditional villages,evaluating one's emotional perceptions on their environment is of great significance for promoting their sustain-able development.Through a case study on traditional villages in China,this research developed a quantitative approach for studying the influence of environmental elements on emotional perceptions in a wide scope.76 traditional villages across China were selected as cases and the online reviews on these villages were analyzed.Through natural language processing,the emotional perceptions expressed in these reviews were qualified,the en-vironmental elements mentioned in these reviews were extracted,and a lexicon of 14 environmental elements classified into the three categories of settlement,nature,and culture was developed.The correlation between environmental elements and emotional perceptions was then evaluated by measuring perception frequency and perception satisfaction.The in-depth analysis shows that people generally have a positive attitude toward tradi-tional villages.Settlement elements,such as"house"and"public building,"are more frequently perceived than natural and cultural elements,while the latter ones play a positive influence on the emotional perception of reviewers on traditional villages.The methods developed in this research can be used to support the policy-making of protecting and revitalizing traditional villages to balance heritage protection and village development.
emotional perceptionsenvironmental elementstextual data processingmachine learningtraditional villages
Feng Jia、Chen Xiaojian、Zheng Xili、Liu Jian
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College of Architecture,Xi'an University of Archi-tecture and Technology,Xi'an,P.R.China
College of Architecture,Xi'an University of Architecture and Technology,Xi'an,P.R.China
College of Architecture,Xi'an University of Ar-chitecture and Technology,Xi'an,P.R.China
NETL
NSTL
万方数据
