Doc2Vec( trainsent, workers=2, size=100, iter=20, dm=1) train_targets, train_regressors = zip(*[ (doc.tags[0], model.infer_vector(doc.words, steps=20)) for doc in trainsent]) Embedding Classifier Accuracy Train time,s Predict time, s Doc2vec Logistic 52 25 1 Disclaimer: First run, “out of the box” performance. No tuning.