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Sentiment classification of reviews and twitter posts based on dictionaries.

, , , , , and . Russ. Digit. Libr. J., 18 (3-4): 138-162 (2015)

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Entity-Level Classification of Adverse Drug Reaction: A Comparative Analysis of Neural Network Models., and . Program. Comput. Softw., 45 (8): 439-447 (2019)Sentiment classification of reviews and twitter posts based on dictionaries., , , , , and . Russ. Digit. Libr. J., 18 (3-4): 138-162 (2015)A Comparative Study on Feature Selection in Relation Extraction from Electronic Health Records., and . DAMDID/RCDL, volume 2523 of CEUR Workshop Proceedings, page 34-45. CEUR-WS.org, (2019)Cross-Domain Limitations of Neural Models on Biomedical Relation Classification., , and . IEEE Access, (2022)Sinkhorn Transformations for Single-Query Postprocessing in Text-Video Retrieval., , , , , , and . SIGIR, page 2394-2398. ACM, (2023)Selection of Pseudo-Annotated Data for Adverse Drug Reaction Classification Across Drug Groups., and . AIST, volume 13217 of Lecture Notes in Computer Science, page 37-44. Springer, (2021)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)DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter., , , , , , , and . J. Am. Medical Informatics Assoc., 28 (10): 2184-2192 (2021)On Biomedical Named Entity Recognition: Experiments in Interlingual Transfer for Clinical and Social Media Texts., , and . ECIR (2), volume 12036 of Lecture Notes in Computer Science, page 281-288. Springer, (2020)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)