Capstone Project Notes
Fake News
Last updated
Fake News
Last updated
Data Collection
Sampling
Sample from the corpus in such a way that the training set contains an even number of unique articles from both credible and non-credible sources for each day of data collection.
Classifier
Build an ensemble classifier that considers the predictions of two separate models: a) "Content-only" model (Multinomial Naive Bayes) b) "Context-only" model (Adaptive Boosting)
Collect news articles from a set of credible and non-credible websites. Get training labels from , a professionally curated database.