Machine Learning, NLP, Word Embeddings, Artificial Intelligence, Text Similarity.
Counter(itertools.chain(*document)) def get_sif_feature_vectors(sentence1, sentence2, word_emb_model=word_emb_model): sentence1 = [token for token in sentence1.split() if token in word_emb_model.wv.vocab] sentence2 = [token for token in sentence2.split() if token in word_emb_model.wv.vocab]