TwitterAnalysis

In this project, we take a deep dive into Trump and Biden’s Twitter followers. By utilizing data visualization techniques, entropic analysis, and machine learning modeling, we investigate the polarization between Trump and Biden followers, predict who a Twitter user is most likely to follow based on the accounts they follow, and analyze other significant trends.

Check out our website!: https://johnsont4.medium.com/twitter-analysis-trump-vs-biden-8dafa77ac7d5

To run this project for yourself:

Install all libraries (tqdm, os, twint, pandas, numpy, sklearn)
Run scrapeUsers.py to scrape followers from Trump and Biden (or whoever else you insert into the program)
Run dataCollector.py to create the 3 groups: Trump followers, Biden followers, and both followers
Run matrixCreator.py to create the matrices and target arrays
Use jupyter notebooks to import the matrices and target arrays and analyze the data however you want! (Our analysis can be found in FinalSubmission.ipynb)
*BONUS: Run youTry.py to see how likely a specific user is to follow Trump or Biden!

Thank you!

If you have any questions or concerns, please reach out! [email protected]

Name		Name	Last commit message	Last commit date
Latest commit History 44 Commits
.ipynb_checkpoints		.ipynb_checkpoints
__pycache__		__pycache__
.DS_Store		.DS_Store
FInalSubmission.ipynb		FInalSubmission.ipynb
README.md		README.md
bidenFixer.py		bidenFixer.py
bothMatrix.npy		bothMatrix.npy
createGroups.py		createGroups.py
dataCollector.py		dataCollector.py
decisionTree		decisionTree
funTry.py		funTry.py
matrix.npy		matrix.npy
matrixCreator.py		matrixCreator.py
scrapeUsers.py		scrapeUsers.py
targetArray.npy		targetArray.npy
topTeamsList.npy		topTeamsList.npy
youTry.py		youTry.py

johnsont4/TwitterAnalysis

Folders and files

Latest commit

History

Repository files navigation

TwitterAnalysis

To run this project for yourself:

Thank you!

About

Topics

Resources

Stars

Watchers

Forks

Languages