| id |
caadria2024_107 |
| authors |
Lin, Shuiyang and van Ameijde, Jeroen |
| year |
2024 |
| title |
Leveraging Social Media and Natural Language Processing for Understanding Cultural Perception in Urban Renewal: Insights From Nantou Walled City |
| doi |
https://doi.org/10.52842/conf.caadria.2024.2.109
|
| source |
Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 109–118 |
| summary |
The preservation of cultural heritage during urban renewal processes is an issue that is often subservient to economic urban development goals. While physical structures of historic importance might be preserved or adapted, the social and cultural significance of historic urban places is often lost during the comprehensive redevelopment of historic neighbourhoods. The absence of adequate measurements and procedures to assess the cultural and social values of historic districts remains a key concern in urban renewal practice. Recent advances in Big Data analysis of social media posts through Machine Learning-based Natural Language Processing (NLP) tools offer ways to quantify the social and cultural perception of historic urban districts and guide culturally sensitive strategies for revitalization. This research presents a novel workflow to analyse text data from social media platforms. Referencing recently developed methods for multidimensional text mining and sentiment analysis, it obtains online text data by identifying the keywords on the Weibo platform and applies BERTopic to construct a quantitative assessment of cultural perceptions by identifying the topics and sentiments about a historic district. Sentiment analysis tools were used to measure emotional polarity in posts to understand social media users' subjective views towards various urban places. Using the case study of Nantou Walled City in Shenzhen, a comparative examination of social media engagement before and after district renewal sheds light on the interplay between social media participation and historic district characteristics. The method presented in this study enables future studies and practices in urban planning and cultural heritage conservation which adopt a comprehensive consideration of resident and community perspectives in urban renewal, to achieve more holistic and sustainable urban development. 08641080 |
| keywords |
Natural language processing, social media data analysis, cultural heritage, sentiment analysis, BERTopic |
| series |
CAADRIA |
| email |
lynnsylin@link.cuhk.edu.hk |
| full text |
 file.pdf (795,935 bytes) |
| references |
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| last changed |
2024/11/17 22:05 |
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