def build_synsets(vocabulary):
save_csv([get_synsets(v) for v in vocabulary], './data/synsets/extend_ANEW_synsets.csv')
def build_synsets(vocabulary):
save_csv([get_synsets(v) for v in vocabulary],
'./data/synsets/extend_ANEW_synsets.csv')
return result
def scaling_onezero(num_list):
# Note: the type of the parameter is np.array
# Function: To normalize data
result = []
for num in num_list:
result.append(num / 9)
return result
if __name__ == '__main__':
from load_data import load_lexicon
from load_data import load_mark
from file_name import get_file_path
from save_data import save_csv
lexicon = load_lexicon(get_file_path('lexicon'))
mark = load_mark(get_file_path('mark'))
lexicon = np.array(lexicon)
mark = np.array(mark)
#####################################
lexicon[:, 1] = scaling_onezero(np.array(lexicon[:, 1], dtype=float))
lexicon[:, 2] = scaling_onezero(np.array(lexicon[:, 2], dtype=float))
mark[:, 1] = scaling_onezero(np.array(mark[:, 1], dtype=float))
mark[:, 2] = scaling_onezero(np.array(mark[:, 2], dtype=float))
######################################
save_csv(lexicon, get_file_path('normalized_onezero_lexicon'))
save_csv(mark, get_file_path('normalized_onezero_mark'))