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Profiling Spreaders of Hate Speech with N-grams and RoBERTa
2021
Conference and Labs of the Evaluation Forum
This paper outlines our approach to the 2021 CLEF Conference Shared Task, Profiling Hate Speech Spreaders on Twitter. Our approach uses the probability output of a logistic regression classifier and a RoBERTa based classifier as features for a linear support vector classifier. During a final cross validation analysis the Spanish meta-classifier performed better than any other single classifier. For English the meta-classifier performed slightly worse than the RoBERTa classifier. On the test set
dblp:conf/clef/Bagdon21
fatcat:qq6pffairrdhlb6ytuqpdecsze