Jia Rong
RONG Jia is a researcher and supervisor in the Institute for Sustainable Industries and Liveable Cities at Victoria University, and a lecturer in the Faculty of Information Technology at Monash University, Melbourne, AUS. She received her Ph.D. degree from Deakin University in 2012. Her current research interests are data mining, pattern recognition, and complex data analysis.
Can Twitter be used for Hay Fever surveillance purposes? Deep Learning application for relevant knowledge extraction
Social Media platforms, primarily used for networking, also serve as an invaluable source of knowledge on variety of topics, including health of the population. Such knowledge can be effectively utilised by healthcare professionals and decision makers if the appropriate techniques are employed to deal with high-volume, high-velocity, high-variety, and often arguable veracity user-generated content online. In a research article, published this month in BMC Medical Informatics and Decision Making, the authors aimed to investigate the potential of Twitter data for Hay Fever surveillance purposes and validate the effectiveness of relevant content curation using state-of-the-art Deep Learning models.
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