def main():
if len(sys.argv) != 2:
print "usage: ./classify.py <classifythis.txt>"
sys.exit(1)
# this is horrendously slow and we probably need a good way to ameliorate it
# classify large batches at a go?
# or maybe a binary format will load faster
# INVESTIGATE
with open(classifier_loc) as f:
classifier = pickle.load(f)
with open(sys.argv[1]) as f:
input = f.read()
data = word_feats(nltk.word_tokenize(input))
print classifier.classify(data)
def load_article(article):
with open(article) as f:
input = f.read()
return word_feats(nltk.word_tokenize(input))
