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Finding Potentially Unsafe Nutritional Supplements from User Reviews with Topic Modeling., , , , , and . PSB, page 528-539. (2016)Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature., , , , and . PSB, page 100-111. (2019)Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing., , , , , and . CoRR, (2024)Automatic Prediction of Evidence-based Recommendations via Sentence-level Polarity Classification., , and . IJCNLP, page 712-718. Asian Federation of Natural Language Processing / ACL, (2013)DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter., , , and . SemEval@NAACL-HLT, page 510-514. The Association for Computer Linguistics, (2015)DiegoLab16 at SemEval-2016 Task 4: Sentiment Analysis in Twitter using Centroids, Clusters, and Sentiment Lexicons., and . SemEval@NAACL-HLT, page 209-214. The Association for Computer Linguistics, (2016)Improved Reconstruction of Flutter Shutter Images for Motion Blur Reduction., and . DICTA, page 417-422. IEEE Computer Society, (2010)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)Overview of the Third Social Media Mining for Health (SMM4H) Shared Tasks at EMNLP 2018., , , and . SMM4H@EMNLP, page 13-16. Association for Computational Linguistics, (2018)Utilizing social media data for pharmacovigilance: A review., , , , , , , and . J. Biomed. Informatics, (2015)