
Social Media Analysis of President Candidates in USA
Author
Chu Pak Sum, Filip Strycko, Niclas Ogeryd, Zhao Che
Last Updated
7 years ago
License
Creative Commons CC BY 4.0
Abstract
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.
