Machine Learning, NLP, Word Embeddings, Artificial Intelligence, Text Similarity.
word_counts = map_word_frequency((sentence1 + sentence2)) embedding_size = 300 # size of vectore in word embeddings a = 0.001 sentence_set=[] for sentence in [sentence1, sentence2]: vs = np.zeros(embedding_size) sentence_length = len(sentence) for word in sentence: a_value = a / (a +