Machine Learning, Data Science, NLP, Dimensionality Reduction, Pca.
very helpful. Tfidf vectors showed a better result when the features are limited with Tfidf vectorizer in the first place than to reduce dimension afterwards, and doc2vec vectors seem to carry a roughly similar amount of information through its 200 dimension feature space. Again this is not a