In the age of social media, information moves quickly, thus blurring the distinction between facts and rumors. This was especially visible during the COVID-19 outbreak, when rumours and disinformation spread throughout internet networks. Sentiment analysis and rumour categorization have developed as critical techniques for discriminating between authentic information and fake rumours in order to solve this problem