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
