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task4_senti_submit.py
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task4_senti_submit.py
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import XMLParser
import task4_stask2
import semeval_util
import argparse
import cPickle
import sys
#dummy trains and tests on the same data just to debug this harness
names = ['lap', 'rest', 'dummy']
pickle_trains = ['Laptop_train_v2.pkl', 'Rest_train_v2.pkl', 'laptops-trial.pkl']
pickle_tests = ['Laptops_Test_Data_phaseB.pkl', 'Restaurants_Test_Data_phaseB.pkl', 'laptops-trial.pkl']
parses_trains = ['lap_Train-parse.txt', 'rest_train-parse.txt', 'lap-trial-parse.txt']
parses_tests = ['laptops_test_phaseA-parse.txt','rest_test_phaseA-parse.txt', 'lap-trial-parse.txt']
results_files = ['lap_phaseB.xml', 'rest_phaseB.xml', 'lap-trial_phaseB.xml']
def get_data(dataset_name):
idx = names.index(dataset_name)
return pickle_trains[idx], pickle_tests[idx], parses_trains[idx], parses_tests[idx], results_files[idx]
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument("task_name", help="must be either lap or rest or dummy", type=str)
#later if time
parser.add_argument("-p", help="Specify that train_file is an already learned clf",type=bool, default=False)
parser.add_argument("-dep", help="If true, use dependency parse features", type=bool, default=False)
args = parser.parse_args()
train_file, test_file, parse_train_file, parse_test_file, out_xml_file = get_data(args.task_name)
print "IGNORING PARSE args if given"
baseline = False
if baseline:
print "WARNING, using baseline"
f = open(train_file, 'rb')
traind = cPickle.load(f)
f.close()
senti_dictionary = semeval_util.get_mpqa_lexicon()
negate_wds = semeval_util.negateWords
results = []
for iob in traind['iob']:
polarities = semeval_util.create_sentiment_sequence(iob, senti_dictionary, negate_wds)
translated = []
for p, n in polarities:
if p > n:
translated.append('positive')
elif n > p:
translated.append('negative')
else:
translated.append('neutral')
results.append(translated)
semeval_util.compute_sent_acc(traind['polarity'], results)
XMLParser.create_xml(traind['orig'], traind['iob'], traind['id'], traind['idx'], sentiments=results,
outfile='baseline.xml')
sys.exit()
else:
results = task4_stask2.train_and_trial(train_file, test_file)
#create results file
f = open(test_file, 'rb')
testd = cPickle.load(f)
f.close()
XMLParser.create_xml(testd['orig'], testd['iob'], testd['id'], testd['idx'], sentiments=results, outfile=out_xml_file)