<reponame>liyefeng123/Using-NLP-technology-facilitate-data-analysis
import nltk,re, pprint
from nltk.corpus import conll2000
import question_classifier.question_classifier as qc
#qc.train()
qc.test()

# print('success')
# for i in range(0,2):
#     print(i)
#
import nltk,re, pprint
from nltk.corpus import conll2000
import question_classifier.question_classifier as qc
#qc.train()
qc.test()

# print('success')
# for i in range(0,2):
#     print(i)
#
#qc.train() # print('success') # for i in range(0,2): #     print(i) #