Program: Data Science Master's
Location: Not Specified (remote)
Student: Grant Roth
Historically, political campaigns were dependent upon third-party political polls. Campaigns had no input on the questions asked and were dependent upon the third-party’s timeline. With the advent of social media, political campaigns now have access to real-time data of what voters are saying and feeling. Having access to the data is only part of the equation. The data needs to be analyzed and applied in a constructive fashion. By using sentiment analysis on social media posts, this project looks to see if sentiment analysis is an accurate leading indicator of the general election results. This project will use Twitter data on John Fetterman’s 2022 Pennsylvania senate race as a case study.