Graduation Year
2021
Date of Submission
5-2021
Document Type
Open Access Senior Thesis
Degree Name
Bachelor of Arts
Department
Mathematics
Reader 1
Mark Huber
Terms of Use & License Information
Rights Information
© 2021 Jordan T Leonard
Abstract
Using a Twitter API, I gather and analyze tweets by performing sentiment analysis to solve the GOAT debate among professional athletes with the primary focus on comparing Michael Jordan and LeBron James. Athletes from the National Football League (NFL), the National Basketball Association (NBA), Major League Baseball (MLB), and the National Collegiate Athletic Association (NCAA) Division 1 Men's and Women's Basketball were selected to compare how sentiment polarity varies across sports. Sentiment polarity is measured by labeling text as "positive", "neutral", or "negative" which allows us to determine which athlete/sport is highly favored among the Twitter community when it comes to naming an athlete the Greatest of All Time.
Recommended Citation
Leonard, Jordan Trey, "Using Twitter API to Solve the GOAT Debate: Michael Jordan vs. LeBron James" (2021). CMC Senior Theses. 2733.
https://scholarship.claremont.edu/cmc_theses/2733
arodgers_goat_tw.csv (34 kB)
harden_goat_tw.csv (100 kB)
jrice_goat_tw.csv (29 kB)
jsuggs_goat_tw.csv (77 kB)
kd_goat_tw.csv (81 kB)
kershaw_goat_tw.csv (6 kB)
kobe_goat_tw.csv (55 kB)
lebron_goat_tw.csv (406 kB)
mahomes_goat_tw.csv (20 kB)
mcabrera_goat_tw.csv (5 kB)
mj_goat_tw.csv (272 kB)
mtrout_goat_tw.csv (53 kB)
pbueckers_goat_tw.csv (66 kB)
sohtani_goat_tw.csv (7 kB)
tb_goat_tw.csv (322 kB)
timme_goat_tw.csv (12 kB)
