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Classifying aggravation status of COVID-19 event from short-text using CNN
2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)
COVID-19 pandemic is a new precedent that has changed many aspects of human life. With the uncertainty of vaccine availability, stakeholders are required to track the dynamics of COVID-19 events to prepare the necessary response. One sub-task in tracking the dynamics of an event is to identify the aggravation status of the event (i.e., whether an event is worsening or getting better). We experimented with convolutional neural network (CNN) models to classify the status of COVID-19 aggravationdoi:10.1109/icramet51080.2020.9298674 fatcat:jlfo6v5go5fjxou3cn67wjq5jy