(fileName)
return embeddings_index
Read Embedding Function
    
    Args:
        fileName : file which stores the embedding
    Returns:
        embeddings_index : a dictionary contains the mapping from word to vector
Read Embedding Function
    
    Args:
        fileName : file which stores the embedding
    Returns:
        embeddings_index : a dictionary contains the mapping from word to vector
Read Embedding Function Args : fileName : file which stores the embedding Returns : embeddings_index : a dictionary contains the mapping from word to vector
def readEmbedding(fileName):
    """
    Read Embedding Function
    
    Args:
        fileName : file which stores the embedding
    Returns:
        embeddings_index : a dictionary contains the mapping from word to vector
    """
    embeddings_index = {}
    with open(fileName, 'r') as f:
        for line in f:
            line_uni = line.decode('utf-8')
            values = line_uni.split()
            word = values[0]
            coefs = np.asarray(values[1:], dtype='float32')
            embeddings_index[word] = coefs
    return embeddings_index
def readEmbedding ( fileName ) : embeddings_index = { } with open ( fileName , 'r' ) as f : for line in f : line_uni = line . decode ( 'utf-8' ) values = line_uni . split ( ) word = values [ 0 ] coefs = np . asarray ( values [ 1 : ] , dtype = 'float32' ) embeddings_index [ word ] = coefs return embeddings_index