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Automatic Identification of Misogyny in English and Italian Tweets at EVALITA 2018 with a Multilingual Hate Lexicon.

, , , and . EVALITA@CLiC-it, volume 2263 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)

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Automatic Identification of Misogyny in English and Italian Tweets at EVALITA 2018 with a Multilingual Hate Lexicon., , , and . EVALITA@CLiC-it, volume 2263 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Do You Really Want to Hurt Me? Predicting Abusive Swearing in Social Media., , and . LREC, page 6237-6246. European Language Resources Association, (2020)Clustering of ERP business process fragments., , , and . IC3INA, page 319-324. IEEE, (2013)Misogyny Detection in Twitter: a Multilingual and Cross-Domain Study., , and . Inf. Process. Manag., 57 (6): 102360 (2020)An empirical study of software ecosystem related tweets by npm maintainers., , , , , , , , and . PeerJ Comput. Sci., (2024)Hate Speech Detection on Indonesian Social Media: A Preliminary Study on Code-Mixed Language Issue., , and . NLPIR, page 104-109. ACM, (2022)A Rule Based SWOT Analysis Application: A Case Study for Indonesian Higher Education Institution., and . ICCSCI, page 144-150. (2017)A joint learning approach with knowledge injection for zero-shot cross-lingual hate speech detection., , and . Inf. Process. Manag., 58 (4): 102544 (2021)Emotionally Informed Hate Speech Detection: A Multi-target Perspective., , , , and . Cogn. Comput., 14 (1): 322-352 (2022)Investigating the role of swear words in abusive language detection tasks., , and . Lang. Resour. Evaluation, 57 (1): 155-188 (March 2023)