Confusion matrix for AfriBERTa on isiZulu tweets.

<div><p>While sentiment analysis systems excel in high-resource languages, most African languages facing limited resources, remain under-represented. This gap leaves a significant portion of the world’s population without access to technologies in their native languages. However, multili...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Koena Ronny Mabokela (21492394) (author)
مؤلفون آخرون:	Mpho Primus (21492397) (author), Turgay Celik (14378019) (author)
منشور في:	2025
الموضوعات:	Ecology Sociology Immunology Science Policy Biological Sciences not elsewhere classified population without access leverage existing plms twitter sentiment dataset african languages poses advancing sentiment analysis trained language models div >< p related languages achieved existing multilingual plms sentiment analysis related languages labelled dataset multilingual plms multilingual pre developing plms resource languages native languages world ’ work expands tswana ), task adaptation specific task significant portion setswana </ sesotho </ sepedi </ safrisenti </ promising approach paper explores large data isizulu </ isixhosa </ gap leaves findings demonstrate avoiding training alternative solution 63 %.
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Confusion matrix for AfriBERTa on isiZulu tweets.

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