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Sentiment Analysis of Social Media Response and Spatial Distribution Patterns on the COVID-19 Outbr and delays implemented by governments when addressing the emergency, lack of response to a nationwide emergency and communication plan, and decentralization of the health care system. By tracking and analyzing health communications and their impacts, this study demonstrates value of social media anLament 发表于 2025-3-29 17:55:26
Conceptualizing an Ecological Model of Google Search and Twitter Data in Public Health,we construct an ecological model of Google Search and Twitter data for public health surveillance by differentiating message sources, goals, content, and geo- and time-stamped information. This model monitors public attention of health issues by analyzing information flow from celebrities, media, orCytology 发表于 2025-3-29 21:31:55
A Case Study in Belief Surveillance, Sentiment Analysis, and Identification of Informational Targetes of this tool include monitoring social messages about e-cigarettes for combating the spread of tobacco-related misinformation and disinformation, and detecting and targeting informational needs of communities for intervention.Constant 发表于 2025-3-30 01:58:44
Exploring Gentrification Through Social Media Data and Text Clustering Techniques,om geotagged Instagram posts by employing text processing and text clustering techniques. The spatial distribution of gentrification ambiance over years revealed that areas observed with a sense of gentrification closely correspond to the human-perceived gentrifying areas. Furthermore, clustering re暂时过来 发表于 2025-3-30 06:44:00
The Future of Human Dynamics Study: Research Challenges and Opportunities During and After the COVIudes: (1) the percentage of work-from-home employees and online education (synchronic or asynchronized) students will increase dramatically; (2) analyzing the dynamic movements of consumer products, and mixed digital online services; (3) using Internet of Things devices to study Human Dynamics; (4)