Machine Learning, NLP, Word Embeddings, Artificial Intelligence, Text Similarity.
word_counts[word]) # smooth inverse frequency, SIF vs = np.add(vs, np.multiply(a_value, word_emb_model.wv[word])) # vs += sif * word_vector vs = np.divide(vs, sentence_length) # weighted average sentence_set.append(vs) return sentence_set Vector Similarity Generated word embeddings need to be