Using machine learning and Natural processing methods to extract text features for categorisation classification and detection
Raymond Chiruka , Mohlatlego Nakeng
Abstract: The covid19 pandemic saw an increase in health information that was shared on social media platforms. It is of importance to public health institutions to analyze the trends of what information was is shared around public health on these platforms. The aim of this project was to analyze sentiments of English messages shared over twitter in particular reference to the Covid19 pandemic.