U Election

Research on election analysis using social media data focuses on leveraging online platforms like Twitter and Reddit to understand public opinion and predict election outcomes. Current studies employ various natural language processing techniques, including sentiment analysis and stance detection, often utilizing machine learning models such as logistic regression and support vector machines, to analyze large datasets of election-related posts. This research aims to improve the accuracy of election forecasting and provide insights into the dynamics of political discourse, offering valuable information for political scientists, campaign strategists, and policymakers. The findings highlight the potential of social media data to complement or even surpass traditional polling methods in understanding public sentiment and predicting election results.