文献类型：期刊文献

英文题名：Perceiving Residents' Festival Activities Based on Social Media Data: A Case Study in Beijing, China

作者：Wang, Bingqing[1];Meng, Bin[1];Wang, Juan[1];Chen, Siyu[1];Liu, Jian[2]

第一作者：Wang, Bingqing

通讯作者：Meng, B[1]

机构：[1]Beijing Union Univ, Coll Appl Arts & Sci, 197 Beitucheng West Rd, Beijing 100191, Peoples R China;[2]Capital Normal Univ, Coll Resource Environm & Tourism, 105 West 3rd Ring Rd North, Beijing 100048, Peoples R China

第一机构：北京联合大学应用文理学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Appl Arts & Sci, 197 Beitucheng West Rd, Beijing 100191, Peoples R China.|[114172]北京联合大学应用文理学院;[11417]北京联合大学;

年份：2021

卷号：10

期号：7

外文期刊名：ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION

收录：;Scopus(收录号：2-s2.0-85111091630);WOS:【SSCI(收录号:WOS:000676376000001)，SCI-EXPANDED(收录号:WOS:000676376000001)】；

基金：This research was funded by the National Key Research and Development Program of China (Grant Nos. 2017YFB0503605), National Natural Science Foundation of China (Grant Nos. 41671165) and the Academic Research Projects of Beijing Union University (Grant Nos. ZK40202001).

语种：英文

外文关键词：social media data; festival activities; citizen perceptions; word frequency analysis; topic analysis

摘要：Social media data contains real-time expressed information, including text and geographical location. As a new data source for crowd behavior research in the era of big data, it can reflect some aspects of the behavior of residents. In this study, a text classification model based on the BERT and Transformers framework was constructed, which was used to classify and extract more than 210,000 residents' festival activities based on the 1.13 million Sina Weibo (Chinese "Twitter") data collected from Beijing in 2019 data. On this basis, word frequency statistics, part-of-speech analysis, topic model, sentiment analysis and other methods were used to perceive different types of festival activities and quantitatively analyze the spatial differences of different types of festivals. The results show that traditional culture significantly influences residents' festivals, reflecting residents' motivation to participate in festivals and how residents participate in festivals and express their emotions. There are apparent spatial differences among residents in participating in festival activities. The main festival activities are distributed in the central area within the Fifth Ring Road in Beijing. In contrast, expressing feelings during the festival is mainly distributed outside the Fifth Ring Road in Beijing. The research integrates natural language processing technology, topic model analysis, spatial statistical analysis, and other technologies. It can also broaden the application field of social media data, especially text data, which provides a new research paradigm for studying residents' festival activities and adds residents' perception of the festival. The research results provide a basis for the design and management of the Chinese festival system.