User-Customizable Health Pattern Detector Framework: Twitter Analysis Example
| Autor: | Timothy J. Dasey, Jason Thornton, Kevin K. Nam, Marianne A. DeAngelus, Lianna M. Hall |
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| Rok vydání: | 2015 |
| Předmět: |
Visual analytics
Information retrieval ISDS 2014 Conference Abstracts Computer science social media user adaptable search Detector Business process reengineering Extension (predicate logic) visual analytics computer.software_genre Term (time) General Earth and Planetary Sciences Social media Relevance (information retrieval) Data mining User interface computer General Environmental Science |
| Zdroj: | Online Journal of Public Health Informatics |
| ISSN: | 1947-2579 |
| Popis: | A general-purpose method for automatic detection algorithm reengineering based upon Twitter keyword queries using user relevance/irrelevance feedback has been demonstrated to have superior performance and versatility compared to more static detection methods. A demonstration of the capability with an initial user interface has been performed. An extension of the processing that includes initial query term expansion prior to application of the customized detection is being investigated. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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