Demo for News Article Collection and Volume Reduction Pipeline

Brief notebooks that run through the following processes using a dataset of NYT Front Page articles

1. Find efficient keywords with word embeddings (gensim)
2. Remove duplicitous articles with cosine similarity on TFIDF vectors (scikit-learn)
3. Remove duplicitous articles with entity extraction and jaccard similarity (spacy)
4. Classify relevant articles (scikit-learn)