A Natural Language Processing and Machine Learning Project
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Description:
- Experimented with models that could classify a piece of text as “Republican”, “Democrat” or “Neutral” using both a neural network in Google CoLab and a naïve bayes classifier in VSCode, with both data from Reddit and synthetically generated data
- Found that our Naïve Bayes classifier with synthetic data performed the best, with a F1 score on our test set of 0.92
Project Report:
Erika Fox 