Classifying us centric political posts on reddit.

Annoyed by US centric news/political posts on reddit.

• Mine data using PushShift, Reddit API and BigQuery and merge them.
• Label posts based on the subreddit.
• Extract keywords using TextRank and generate a frequency table.
• Train models using relative frequencies of extracted keywords.
• A simple logistic regression on relative word frequencies is giving ~94% accuracy in classification.

Included a logistic regression model.
Example:

from classifier import Classifier
Classifier.predict(text)

Final dataset can be found here.

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