Social Media Analysis of President Candidates in USA

The goal of this paper is to analyze content shared in social media by presidential candidates in the United States of America. In particular, Twitter posts are being inspected, using advanced methods of big data analysis. In this report we describe the usage of tools, such as Map Reduce, collaborative filtering, k-means clustering and others, to determine different features of candidates' communication. We also made an application for recommending ideas to candidates based on the their Twitter analysis. At the end we show overview of our findings and propose directions for further analysis.