def create_review(self,text_pos,text_neg):
postag_pos = pos_tag(word_tokenize(text_pos))
postag_neg = pos_tag(word_tokenize(text_neg))
feats_pos = extract_features(postag_pos)
feats_neg = extract_features(postag_neg)
positive_data = {'feats':feats_pos, 'text':postag_pos}
negative_data = {'feats':feats_neg, 'text':postag_neg}
return Review(revid = -1, positive = positive_data , negative = negative_data )
def read_review(self):
dao = CorpusReader()
objects = dao.get_objects()
lista = []
for postag_pos, postag_neg in zip(objects[0],objects[1]):
feats_pos = extract_features(postag_pos)
feats_neg = extract_features(postag_neg)
positive_data = {'feats':feats_pos, 'text':postag_pos}
negative_data = {'feats':feats_neg, 'text':postag_neg}
lista.append(Review(revid = -1, positive = positive_data , negative = negative_data ))
#yield ({'pos':obj[0],'neg':obj[1]})
return lista
def create_list_reviews(self,tagged_pos, tagged_neg):
review_list = []
count = 0
print 'creating reviews...'
for positive_tags, negative_tags in zip(tagged_pos, tagged_neg):
rev_id = count
count += 1
positive_feats = extract_features(positive_tags)
negative_feats = extract_features(negative_tags)
positive = {'feats': positive_feats, 'text': positive_tags}
negative = {'feats': negative_feats, 'text': negative_tags}
review_list.append(Review(rev_id, positive, negative))
return review_list