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Sentiment Analysis model for Twitter UG and Twitter NG on COVID-19 Conversations
Principal Researchers: Prof. Francisca Oladipo (KIU), Dr. Ayodeji Awobamise (KIU), Dr .Emeka Ogbuju (FUL, NG) On-Going
Duration:
April 2020
Research Objectives:
To use Machine Learning Support Vector Machines and Naives Bayes Models to mine opinions and sentiments of all Uganda and Nigerian Tweeps on all conversations surrounding the COVID-19
Nature of Research output:
A Dataset of all conversation tokens on the COVID-19 to be made publicly available as part of Africa’s contributions to the World COVID-19 Dataset.
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