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  1. 1. Machine Learning for Detecting Hate Speech in Low Resource Languages

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :David Rodriguez; Denitsa Saynova; [2020-07-08]
    Nyckelord :machine learning; natural language processing; BERT; cross-lingual zeroshot learning; data augmentation; hate speech; classification; Twitter;

    Sammanfattning : This work examines the role of both cross-lingual zero-shot learning and data augmentation in detecting hate speech online for low resource set-ups. The proposed solutions for situations where the amount of labeled data is scarce are to use a language with more resources during training or to create synthetic data points. LÄS MER