most citedAnalyzing Social Media Data to Understand Consumers' Information Needs on Dietary Supplements

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cs.CL2021★ 1 cited

Deep Learning Models in Detection of Dietary Supplement Adverse Event Signals from Twitter

Yefeng Wang, Yunpeng Zhao, Jiang Bian +1

Objective: The objective of this study is to develop a deep learning pipeline to detect signals on dietary supplement-related adverse events (DS AEs) from Twitter. Material and Met…