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Lightweight Machine Learning for Classifying Disaster-Related Social Media Posts
Classifying disaster-related social-media posts into humanitarian information labels is challenging because individual messages are typically short and context-limited, humanitarian categories can overlap semantically, and the CrisisBench label distribution is strongly imbalanced. This study investi
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