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 popul
The dataset comprises comments collected from the official Facebook page of the NIPHK Institute for a period of 6 months, from March 12 till August 31, 2020. On March 12, the first case of COVID-19 wa
AsanteTwiSenti, a comprehensive sentiment dataset of Ghanaian Asante Twi language tweets scraped from Twitter. The AsanteTwiSenti corpus contains 9,507 manually annotated tweets labeled as Positive,
• Bangla, a language spoken by more than 230 million people worldwide, is significantly underrepresented in speech and sentiment analysis research when compared to high-resource languages. • This is a
