Sökning: "Matilda Froste"

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1. 1. Multi-Label Toxic Comment Classification Using Machine Learning: An In-Depth Study

   Master-uppsats, Lunds universitet/Institutionen för datavetenskap

   Författare :Matilda Froste; Mosa Hosseini; [2023]
   Nyckelord :natural language processing; machine learning; offensive speech detection; transformers; multi-label classification; Technology and Engineering;

   Sammanfattning : The classification of toxic comments is a well-researched area with many techniques available. However, effectively managing multi-label categorization still requires a considerable amount of work. LÄS MER