Evaluation of different machine learning approaches and input text representations for multilingual classification of tweets for disease surveillance in the social web
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DOI: 10.1186/s40537-021-00528-5
Abstract: Twitter and social media as a whole have great potential as a source of disease surveillance data however the general messiness of tweets presents several challenges for standard information extraction methods. Most deployed systems employ… read more here.
Keywords: surveillance; social web; surveillance social; disease surveillance ... See more keywords