use python twitter API to collect the number of followers for the 232 rich universities in the file endowments_2018.csv and updated the file as endow- ments_2018_2.csv to include the the number of followers in twitter. • Verify the following hypotheses via your analytics: – The richer a university, the more followers in its twitter – Private universities have more followers than its public peers • Visualize the data via PCA and t-SNE (or SOM) and analyze your findings • Label entries as – ’universities with a large number of followers – universities with a medium number of followers – universities with a small number of followers – then partition data as training and test by using extra-Trees, MLP and CNN to do classification by showing all classification measures including d-index.
cryaa/Twitter-analytics-for-University-endowment-analysis
use python twitter API to collect the number of followers for the 232 rich universities in the file endowments_2018.csv and updated the file as endow- ments_2018_2.csv to include the the number of followers in twitter. • Verify the following hypotheses via your analytics: – The richer a university, the more followers in its twitter – Private universities have more followers than its public peers • Visualize the data via PCA and t-SNE (or SOM) and analyze your findings • Label entries as – ’universities with a large number of followers – universities with a medium number of followers – universities with a small number of followers – then partition data as training and test by using extra-Trees, MLP and CNN to do classification by showing all classification measures including d-index.
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