training_dicts_x = []
training_vects_x = []
training_x = []
count = 0
for tweet in tweets:
#print tweet
#print '***********************'
processed_tweet = preprocessor.preprocess(tweet)
#print processed_tweet
#print '***********************'
features = feature_extractor.extract_features_testing(processed_tweet)
#print features
#training_x.append(features)
#feature_vect = feature_extractor.build_feature_vector(features)
feature_dict = feature_extractor.build_feature_dict(features)
#training_vects_x.append(feature_vect)
training_dicts_x.append(feature_dict)
#print '##################################################'
count += 1
if count % 100 == 0:
print count
'''
with open('raw_validation_vects.csv', 'wb') as fp:
writer = csv.writer(fp)
# write world list into '.csv' file
# write feature number matrix into '.csv' file
for row in training_vects_x:
writer.writerow(row)
'''
'''
