TweetVi: A Tweet Visualisation Dashboard for Automatic Topic Classification and Sentiment Analysis

Social media has witnessed a remarkable surge in popularity, serving as a platform where individuals express their views on crucial subjects, including politics, infectious diseases, social movements, and security issues. This profusion of readily accessible information empowers decision-makers and stakeholders to shape policies and strategies grounded in statistical insights into societal dynamics. To facilitate an in-depth collaborative analysis of social trends and public sentiment, we developed TweetVi - an interactive dashboard. Within the interactive dashboard, we've developed a pipeline encompassing three machine-learning components: language detection, spam detection, and sentiment analysis. This collaborative platform further provides analytical results on topical sentiments and trends, fostering a deeper understanding of the social landscape. The TweetVi application empowers users to gain valuable insights into evolving social narratives and sentiments, facilitating evidence-based decision-making in a dynamic online environment.