def convert_to_tfidf(filename):
with open(filename,"w+") as f:
query_keyword = Tfidf("query_ids.txt","keyword_ids.txt")
query_title = Tfidf("query_ids.txt","title_ids.txt")
query_description = Tfidf("query_ids.txt","desc_ids.txt")
keyword_title = Tfidf("keyword_ids.txt","title_ids.txt")
keyword_description = Tfidf("keyword_ids.txt","desc_ids.txt")
title_description = Tfidf("title_ids.txt","desc_ids.txt")
data = csv_io.read_train("10percent_5lakh_preprocessed_training_data.txt")
count = 0
with open("2lakh_training_data.txt") as f1:
for line in f1:
count = count + 1
sample = csv_io.split(line,[','])
queryid = sample[7]
keywordid = ''+sample[8]
titleid = ''+sample[9]
descriptionid = ''+sample[10]
qk_sim = query_keyword.classify(queryid,keywordid)
qt_sim = query_title.classify(queryid,titleid)
qd_sim = query_description.classify(queryid,descriptionid)
kt_sim = keyword_title.classify(keywordid,titleid)
kd_sim = keyword_description.classify(keywordid,descriptionid)
td_sim = title_description.classify(titleid,descriptionid)
sample.append('%.2f' % qk_sim[0][0])
sample.append('%.2f' % qt_sim[0][0])
sample.append('%.2f' % qd_sim[0][0])
sample.append('%.2f' % kt_sim[0][0])
sample.append('%.2f' % kd_sim[0][0])
sample.append('%.2f' % td_sim[0][0])
f.write(",".join(sample))
f.write("\n")
def dummy():
id1 = '1'
id2 = '3'
tfidf = Tfidf("dummy.txt","dummy2.txt")
return tfidf.classify(id1,id2)
