Analyzing Political Opinions and Prediction of Voting Patterns in the US Election with Data Mining Approaches
Data is the precious resources. Data contains the useful patterns which provide the crucial information about the prediction of what is going to be happened in the next. In this paper, we aim to identify the political preferences and tendency of the US populations using classification and data mining techniques. To provide the usefulness of proposed model we analyze the electoral data sets in US election obtained from the official website which contains the information about 1984 United States Congressional voting records. This paper shows the classification techniques that can be used to predicting voting patterns in the US House of Representatives and shows the close correspondence between election results and extracted opinion. This paper also shows the political support of the voters and prediction the characteristics of the voter with their political tendency.
