def extract_features(text):
return [stem(tok) for tok in text if not is_stop(tok)] + ['__BIAS__']
def extract_features(text):
return [stem(tok) for tok in text if not is_stop(tok)] + ['__BIAS__']
# coding:utf-8
"""
python knock072.py ../Data/sentiment.txt
"""
import sys
from stemming.porter2 import stem
from knock071 import is_stop
for line in open(sys.argv[1]):
spl = line.strip().split()
label = spl[0]
text = spl[1:]
feature = (stem(tok) for tok in text if not is_stop(tok))
print '%s %s' % (label, ' '.join(feature))