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Sentiment Polarity Classification at EVALITA: Lessons Learned and Open Challenges.

, , , , , and . IEEE Trans. Affect. Comput., 12 (2): 466-478 (2021)

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Matching Theory and Data with Personal-ITY: What a Corpus of Italian YouTube Comments Reveals About Personality., , and . CoRR, (2020)Annotating Sentiment and Irony in the Online Italian Political Debate on #labuonascuola., , , and . LREC, European Language Resources Association (ELRA), (2016)Tweeting and Being Ironic in the Debate about a Political Reform: the French Annotated Corpus TWitter-MariagePourTous., , , and . LREC, European Language Resources Association (ELRA), (2016)Reasoning about Complex Actions with Incomplete Knowledge: A Modal Approach., , , and . ICTCS, volume 2202 of Lecture Notes in Computer Science, page 405-425. Springer, (2001)ValenTO at SemEval-2018 Task 3: Exploring the Role of Affective Content for Detecting Irony in English Tweets., , and . SemEval@NAACL-HLT, page 643-648. Association for Computational Linguistics, (2018)SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter., , , , , , , and . SemEval@NAACL-HLT, page 54-63. Association for Computational Linguistics, (2019)Emotional Responses to Artworks in Online Collections., and . UMAP Workshops, volume 997 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)ArsEmotica: emotions in the social semantic web., , , and . I-SEMANTICS, page 171-174. ACM, (2011)Sentiment Polarity Classification at EVALITA: Lessons Learned and Open Challenges., , , , , and . IEEE Trans. Affect. Comput., 12 (2): 466-478 (2021)Sentiment Analysis of Microblogging Data., , , , and . Encyclopedia of Social Network Analysis and Mining. 2nd Ed., Springer, (2018)