“Anwar and his colleagues compared BiCapsHate to these other models, finding that theirs outperformed the other models significantly. BiCapsHate achieved 94 percent and 92 percent f-score measures on balanced and imbalanced data sets, respectively. An f-score is a means of evaluating the accuracy of AI systems. The higher the f-score, the greater the accuracy.” https://spectrum.ieee.org/ai-versus-online-hate-speech Share this: Click to print (Opens in new window) Print Click to share on Facebook (Opens in new window) Facebook Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Reddit (Opens in new window) Reddit Click to share on WhatsApp (Opens in new window) WhatsApp Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Like this:Like Loading... Post navigation Explaining Hate Speech Classification with Model-Agnostic Methods (Lecture Notes in Informatics) What happened to the “Internet for trust”? Report on the UNESCO Conference (AlSur)