Code-mixing unveiled: Enhancing the hate speech detection in Arabic dialect tweets using machine learning models.

ABSTRACT: Technological developments over the past few decades have changed the way people communicate, with platforms like social media and blogs becoming vital channels for international conversation. Even though hate speech is vigorously suppressed on social media, it is still a concern that needs to be constantly recognized and observed. The Arabic language poses particular difficulties in the detection of hate speech, despite the considerable efforts made in this area for English-language social media content. Arabic calls for particular consideration when it comes to hate speech detection because of its many dialects and linguistic nuances. Another degree of complication is added by the widespread practice of "code-mixing," in which users merge various languages smoothly. Recognizing this rese

SUBMITTER: Alhazmi A 

PROVIDER: S-EPMC11253949 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature