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Matching Theory and Data with Personal-ITY: What a Corpus of Italian YouTube Comments Reveals About Personality., , и . CoRR, (2020)#Brexit: Leave or remain? the role of user's community and diachronic evolution on stance detection., , , и . J. Intell. Fuzzy Syst., 39 (2): 2341-2352 (2020)Resources and benchmark corpora for hate speech detection: a systematic review., , , , и . Lang. Resour. Evaluation, 55 (2): 477-523 (2021)Detecting racial stereotypes: An Italian social media corpus where psychology meets NLP., , , , , и . Inf. Process. Manag., 60 (1): 103118 (2023)FlorUniTo@TRAC-2: Retrofitting Word Embeddings on an Abusive Lexicon for Aggressive Language Detection., , и . TRAC@LREC, стр. 106-112. European Language Resources Association (ELRA), (2020)Learn the rules so you know how to break them properly., , , , и . WOA, том 741 из CEUR Workshop Proceedings, стр. 11-18. CEUR-WS.org, (2011)Conformance and Interoperability in Open Enviroments., , , и . WOA, том 204 из CEUR Workshop Proceedings, CEUR-WS.org, (2006)Subjective Well-Being and Social Media. A Semantically Annotated Twitter Corpus on Fertility and Parenthood., , , , , , , и . CLiC-it/EVALITA, том 1749 из CEUR Workshop Proceedings, CEUR-WS.org, (2016)ArsEmotica: emotions in the social semantic web., , , и . I-SEMANTICS, стр. 171-174. ACM, (2011)ArsEmotica for arsmeteo.org: Emotion-Driven Exploration of Online Art Collections., , и . FLAIRS, стр. 288-293. AAAI Press, (2015)