sgnlp.models.sentic_gcn.utils.load_word_vec

load_word_vec(word_vec_file_path: str, vocab: Dict[str, int], embed_dim: int = 300) → Dict[str, numpy.asarray]

Helper method to load word vectors from file (e.g. GloVe) for each word in vocab.

Parameters

• word_vec_file_path (str) – full file path to word vectors.

• vocab (Dict[str, int]) – dictionary of vocab word as key and word index as values.

• embed_dim (int, optional) – embedding dimension. Defaults to 300.

Returns

dictionary with words as key and word vectors as values.

Return type

Dict[str, np.asarray]