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Finding Potentially Unsafe Nutritional Supplements from User Reviews with Topic Modeling., , , , , and . PSB, page 528-539. (2016)GeoBoost: accelerating research involving the geospatial metadata of virus GenBank records., , , , , and . Bioinform., 34 (9): 1606-1608 (2018)Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021., , , , , , , , , and 6 other author(s). SMM4H@NAACL-HLT, page 21-32. Association for Computational Linguistics, (2021)Session Introduction., , , , and . PSB, page 559-565. (2018)ChatGPT and large language models in academia: opportunities and challenges., , , , , , , , , and 1 other author(s). BioData Min., (January 2023)Pharmacovigilance on Twitter? Mining Tweets for Adverse Drug Reactions., , , , , , and . AMIA, AMIA, (2014)Detecting Personal Medication Intake in Twitter: An Annotated Corpus and Baseline Classification System., , , , and . BioNLP, page 136-142. Association for Computational Linguistics, (2017)Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020., , , , , , , , , and 1 other author(s). SMM4H@COLING, page 27-36. Association for Computational Linguistics, (2020)Utilizing social media data for pharmacovigilance: A review., , , , , , , and . J. Biomed. Informatics, (2015)Dealing with Medication Non-Adherence Expressions in Twitter., , , , and . SMM4H@EMNLP, page 32-33. Association for Computational Linguistics, (2018)