2020
EMNLP
EMNLP 2020
Real-time Classification, Geolocation and Interactive Visualization of COVID-19 Information Shared on Social Media to Better Understand Global Developments
Abstract
AbstractAs people communicate on social media during COVID-19, it can be an invaluable source of useful and up-to-date information. However, the large volume and noise-to-signal ratio of social media can make this impractical. We present a prototype dashboard for the real-time classification, geolocation and interactive visualization of COVID-19 tweets that addresses these issues. We also describe a novel L2 classification layer that outperforms linear layers on a dataset of respiratory virus tweets.
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Interdisciplinary Bridge
— Artificial Intelligence and Data Science & Analytics and Machine Learning and Natural Language Processing
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Keyword Pioneer
— geolocation mapping
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Hot Topic Early Bird
— real-time processing
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Machine Learning > Core Methods > Classification
Machine Learning > Application Areas > Domain Adaptation
Natural Language Processing > Applications > Text Classification
Data Science & Analytics > Applications > Information Retrieval
Machine Learning > Learning Types > Multi-Label Classification
Artificial Intelligence > Core AI > Information Retrieval