Certificate of Completion
THIS ACKNOWLEDGES THAT
HAS COMPLETED THE FALL 2021 DATA SCIENCE BOOT CAMP
Roman Holowinsky, PhD
DECEMBER 08, 2021
Matthew Boot, Eric Oden, Dhruv Patel, Ashok Choudhary
Our model uses temporal, user, and language data to predict if a post will go viral. We found that text data from the title and body had the greatest explanatory value, followed by temporal data, and then user data. Furthermore, our exploratory analysis revealed posts submitted in the early morning have a much higher chance of going viral.