7/1/2023 0 Comments Download winmx 2021![]() The data extraction framework queries the data through the Twitter V2 application programming interface, with queries identified by public health experts. ![]() The U-MAS expert system has 5 major components: data extraction framework, latent Dirichlet allocation (LDA) topic model, sentiment analyzer, misinformation classification model, and Elastic Cloud deployment (indexing of data and visualizations). Methods: U-MAS is a platform-independent ecosystem developed in Python that leverages the Twitter V2 application programming interface and the Elastic Stack. Objective: This study aimed to design and develop a big data pipeline and ecosystem (UbiLab Misinformation Analysis System ) to identify and analyze false or misleading information disseminated via social media on a certain topic or set of related topics. However, public health officials need access to a comprehensive system capable of mining and analyzing large volumes of social media data in real time. Notably, these beliefs have resulted in public health crises to the detriment of governments worldwide and their citizens. Asian/Pacific Island Nursing Journal 10 articlesĮmail: Digital misinformation, primarily on social media, has led to harmful and costly beliefs in the general population.JMIR Bioinformatics and Biotechnology 32 articles. ![]()
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