Sökning: "Profanity Detection"

Hittade 2 uppsatser innehållade orden Profanity Detection.

  1. 1. Towards End-User Understanding: Exploring Explanations For Profanity Detection

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Noah Öberg; [2023]
    Nyckelord :;

    Sammanfattning : Current text classification models can accurately identify instances of specific categories, such as hate speech or bad language, but they often don’t provide clear explanations to the end user for their decisions. This can lead to confusion or mistrust in the results, especially in sensitive applications where the consequences of misclassification can be significant. LÄS MER

  3. 2. Evaluating the robustness of DistilBERT to data shift in toxicity detection

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Caroline Larsen; [2022]
    Nyckelord :Machine learning; Natural Language Processing; DistilBERT; Toxicity Detection; Profanity Detection; Hate Speech Identification; Text preprocessing; Maskininlärning; naturligtspråkbehandling; DistilBERT; identifiering av kränkande språk; identifiering av svordomar; textbehandling;

    Sammanfattning : With the rise of social media, cyberbullying and online spread of hate have become serious problems with devastating consequences. Mentimeter is an interactive presentation tool enabling the presentation audience to participate by typing their own answers to questions asked by the presenter. LÄS MER