This project was a Sentiment Analysis of the 2024 United States Presidential Election from the time of Super Tuesday. The other part of the project was performing a model process with Support Vector Machine(SVM) and Random Forest. The Client is NewsNation. The objective was to create a model that can predict sentiments of tweets for NewsNation to use to keep their neutral political appearance. The other objective is to inform the citizens of the United States who the people are voting for. This was accomplished with the Sentiment Analysis. Since the Election was still months away, the Sentiment Analysis was compared to what was happening in the political news cycle at the time which was Super Tuesday.