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The paper aims to leverage the highly unstructured user-generated content in the context of pollen allergy surveillance using neural networks with character embeddings and the attention mechanism. Currently, there is no accurate representation of hay fever prevalence, particularly in real-time scenarios. Social media serves as an alternative to extract knowledge about the condition, which is valuable for allergy sufferers, general practitioners, and policy makers. Despite tremendous potentialdoi:10.1007/s13755-019-0084-2 pmid:31656594 pmcid:PMC6790203 fatcat:sih35mxanvdorf4nbclkwz2kvu