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View Code? Open in Web Editor NEWA predictor of how popular a government article will be based on a simple Bernoulli Naive Bayes classifier on Twitter
A predictor of how popular a government article will be based on a simple Bernoulli Naive Bayes classifier on Twitter
Predicting Popular Government, an analys is of states By Justin Hines This is a final project for Data Driven Modeling taught by Jake Hofman. This project aims to predict the popularity of governemntal articles using a multi-class bernoulli naive bayes classifier. Run make to download the dataset, filter, and apply the classifier. Results will be stored in log/. All tsv data sets will be in tsv organized by dstate. Final filtered tsvs will be in tsv/{STATE}/tsvs/ Run make bayes to run the bayes classifier on a dataset, or python bayes.py in the src/ directory. The final report is included in docs/
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