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  1. 1. Comparing Different Transformer Models’ Performance for Identifying Toxic Language Online

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Carl Sundelin; [2023]
    Nyckelord :Artificial Intelligence; Machine Learning; Natural Language Processing; Transformers; RoBERTa; DistilBERT; ALBERT; Toxic Language Identification; Social Media;

    Sammanfattning : There is a growing use of the internet and alongside that, there has been an increase in the use of toxic language towards other people that can be harmful to those that it targets. The usefulness of artificial intelligence has exploded in recent years with the development of natural language processing, especially with the use of transformers. LÄS MER