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NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets.

, , and . SemEval@NAACL-HLT, page 321-327. The Association for Computer Linguistics, (2013)

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Computational Modeling of Stereotype Content in Text., , and . Frontiers Artif. Intell., (2022)Generalized Features: Their Application to Classification., and . AAAI/IAAI, page 985. AAAI Press / The MIT Press, (2002)WikiArt Emotions: An Annotated Dataset of Emotions Evoked by Art., and . LREC, European Language Resources Association (ELRA), (2018)NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews., , , and . SemEval@COLING, page 437-442. The Association for Computer Linguistics, (2014)SemEval-2015 Task 10: Sentiment Analysis in Twitter., , , , , and . SemEval@NAACL-HLT, page 451-463. The Association for Computer Linguistics, (2015)Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection., , , and . NAACL-HLT, page 2672-2686. Association for Computational Linguistics, (2022)Automated Information Extraction of Key Trial Design Elements from Clinical Trial Publications., , , , and . AMIA, AMIA, (2008)SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases., , and . SemEval@NAACL-HLT, page 42-51. The Association for Computer Linguistics, (2016)Email Classification with Temporal Features., , and . Intelligent Information Systems, page 523-533. Springer, (2004)ExaCT: automatic extraction of clinical trial characteristics from journal publications, , , , and . BMC Medical Informatics and Decision Making, 10 (1): 56+ (Sep 28, 2010)