def get_item_mask_for_words(text, item): words = get_words(text) types = [] words_in_item = get_words(item.lower()) for word in words: types.append([1. if word.lower() in words_in_item else 0.] * 200) return types
def get_vector_list_from_sentence(model, sentence): words = get_words(sentence) vectors = [] for word in words: vectors.append(infer_vector_from_word(model, word)) return vectors
def convert_text_into_vector_sequence(model, text): words = get_words(text) vectors = [] for word in words: vectors.append(infer_vector_from_word(model, word)) return vectors