Machine Learning, Data Science, NLP, Dimensionality Reduction, Pca.
set to 0.56) — 75.96% Apart from the lexical approach, the number of features needed for the models seem quite big, so I decided to see if I can reduce feature dimensions of Tfidf vectorizer and doc2vec vectors. The vectors from Doc2Vec model is of 200 dimensions, sounds quite small compared to