Document Type : Research Article
Abstract
Recent years have seen a rise in the significance of sentiment analysis as a direct result of the explosion in the amount of material available online. The practice of analyzing textual data created on social media sites such as Facebook and Twitter using a natural language processing approachis called sentiment analysis. Since the beginning of the COVID-19 pandemic, several postings, including videos and text messages, have been uploaded on the social media platform in order to provide real-time updates on the progression of the pandemic across the world's nations.
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