def handle_statement(stmt, features=False):
"""handle the statement returning a dictionary to return to the client"""
print(stmt)
result = dict()
result['bias'] = compute_bias(stmt)
result['statement'] = stmt
if features:
features = extract_bias_features(stmt)
result['features'] = features
return result
def bias_score( text ):
"""
Main function calling the bsdetector.
:param sentence: Sentence, the bias should be calculated for.
:return: a bias value between 0 and 3
"""
#text = text + "a"
sentences = nltk.sent_tokenize( text )
total_bias = 0
for sentence in sentences:
if len( sentence ) < 2:
total_bias = total_bias
else:
total_bias += bias.compute_bias( sentence )
if len( sentences ) != 0:
total_bias = total_bias/len( sentences )
return total_bias
def test_compute():
from bsdetector import bias
assert_statement("The cat sucks.")
fpath = 'input.txt'
bias.enumerate_sentences(fpath)
bias.compute_bias('brexit.txt')
def assert_statement(stat):
from bsdetector import bias
r = bias.compute_bias(stat)
print(stat)
print(r)
return r