Multidimensional Recreation Emotion Evaluation Framework Based on Social Media Data:A Case Study of Urban Parks in Central Nanjing
Using a large amount of social media data with emotional tags,we can understand and grasp the residents'emotional perception experience of recreation in urban parks and green spaces,and provide a strategic basis for the renovation and improvement of urban parks.Based on the Weibo data released by city park users,the paper supported by Rost Content Mining software and BERT deep learning to classify and analyze the Sina Weibo texts,and used IPA analysis to construct a framework model of emotional evaluation in four dimensions:recreation location,environment,facilities and perception,and used nine urban parks located in the central city of Nanjing as examples for empirical research.It was discovered that:(1)Residents'recreation experience in urban parks was generally positive,and visitors were more satisfied with the overall construction of urban parks in Nanjing's central city,with Beluga Park performing best.(2)From the IPA analysis,in the high importance-low satisfaction quadrant,the factors in need of improvement are the recreation areas of Xuanwu Lake Park and Drum Tower Park,the recreation environment of Mochou Lake Park and Gulin Park,and the recreation perceptions of Hydrangea Park,Drum Tower Park,and Xiaotao Garden.Using this evaluation framework,we can effectively capture the emotional state of the recreation crowd in urban parks and its influencing factors,which is an important guideline for the renewal and improvement of urban parks.
social media datarecreation emotionplace perceptionBERT modelIPA analysis
万方数据
