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Found 4 papers, 2 papers with code
RheFrameDetect: A Text Classification System for Automatic Detection of Rhetorical Frames in AI from Open Sources
We performed extensive evaluation of the text classification techniques used in RheFrameDetect against human annotated Frames from multiple news sources.
Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources
Specifically, we focus on deriving epidemiological characteristics of an emerging disease and the affected population from reports of illness.
Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks
In this study, we quantify the extent to which media interest during infectious disease outbreaks is indicative of trends of reported incidence.
Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach
Traditional disease surveillance can be augmented with a wide variety of real-time sources such as, news and social media.
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