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P3_1.py
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P3_1.py
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def get_train_test():
"""
生成十折交叉验证的十个训练集和对应测试集合
:return:
"""
train_one = open('TrainFiles/train_1.txt','w',encoding='utf-8')
train_two = open('TrainFiles/train_2.txt','w',encoding='utf-8')
train_thr = open('TrainFiles/train_3.txt','w',encoding='utf-8')
train_four = open('TrainFiles/train_4.txt','w',encoding='utf-8')
train_five = open('TrainFiles/train_5.txt','w',encoding='utf-8')
train_six = open('TrainFiles/train_6.txt','w',encoding='utf-8')
train_sev = open('TrainFiles/train_7.txt','w',encoding='utf-8')
train_eig = open('TrainFiles/train_8.txt','w',encoding='utf-8')
train_nin = open('TrainFiles/train_9.txt','w',encoding='utf-8')
train_ten = open('TrainFiles/train_10.txt','w',encoding='utf-8')
test_one = open('TestFiles/test_1.txt','w',encoding='utf-8')
test_two = open('TestFiles/test_2.txt', 'w', encoding='utf-8')
test_thr = open('TestFiles/test_3.txt', 'w', encoding='utf-8')
test_four = open('TestFiles/test_4.txt', 'w', encoding='utf-8')
test_five = open('TestFiles/test_5.txt', 'w', encoding='utf-8')
test_six = open('TestFiles/test_6.txt', 'w', encoding='utf-8')
test_sev = open('TestFiles/test_7.txt', 'w', encoding='utf-8')
test_eig = open('TestFiles/test_8.txt', 'w', encoding='utf-8')
test_nin = open('TestFiles/test_9.txt', 'w', encoding='utf-8')
test_ten = open('TestFiles/test_10.txt', 'w', encoding='utf-8')
std_one = open('TestFiles/std_1.txt', 'w', encoding='utf-8')
std_two = open('TestFiles/std_2.txt', 'w', encoding='utf-8')
std_thr = open('TestFiles/std_3.txt', 'w', encoding='utf-8')
std_four = open('TestFiles/std_4.txt', 'w', encoding='utf-8')
std_five = open('TestFiles/std_5.txt', 'w', encoding='utf-8')
std_six = open('TestFiles/std_6.txt', 'w', encoding='utf-8')
std_sev = open('TestFiles/std_7.txt', 'w', encoding='utf-8')
std_eig = open('TestFiles/std_8.txt', 'w', encoding='utf-8')
std_nin = open('TestFiles/std_9.txt', 'w', encoding='utf-8')
std_ten = open('TestFiles/std_10.txt', 'w', encoding='utf-8')
with open('199801_seg&pos.txt','r',encoding='gbk') as train_file:
with open('199801_sent.txt','r',encoding='gbk') as test_file:
test_lines = test_file.readlines()
i = 0
for line in train_file:
if i % 10 == 1:
test_one.write(test_lines[i])
std_one.write(line)
else:
train_one.write(line)
if i % 10 == 2:
test_two.write(test_lines[i])
std_two.write(line)
else:
train_two.write(line)
if i % 10 == 3:
test_thr.write(test_lines[i])
std_thr.write(line)
else:
train_thr.write(line)
if i % 10 == 4:
test_four.write(test_lines[i])
std_four.write(line)
else:
train_four.write(line)
if i % 10 == 5:
test_five.write(test_lines[i])
std_five.write(line)
else:
train_five.write(line)
if i % 10 == 6:
test_six.write(test_lines[i])
std_six.write(line)
else:
train_six.write(line)
if i % 10 == 7:
test_sev.write(test_lines[i])
std_sev.write(line)
else:
train_sev.write(line)
if i % 10 == 8:
test_eig.write(test_lines[i])
std_eig.write(line)
else:
train_eig.write(line)
if i % 10 == 9:
test_nin.write(test_lines[i])
std_nin.write(line)
else:
train_nin.write(line)
if i % 10 == 0:
test_ten.write(test_lines[i])
std_ten.write(line)
else:
train_ten.write(line)
i += 1
return
def gene_dic(from_file = '199801_seg&pos.txt',writo_path = 'dic.txt',encoding='gbk'):
"""
利用给定文本生成词典
:param from_file:
:return:
"""
f = open(from_file,encoding=encoding)
lines = f.readlines()
f.close()
word_dic = set() # 在不需要统计词频时，以集合的形式存储，避免出现重复的词
max_length = 0 # 词长度最大值
for line in lines:
for word in line.split():
if '/m' in word and '-' in word: # 去掉对应格式的日期
continue
if '/w' in word:
continue
if word[0] == '[': # 去除专有名词中夹杂的'['符号
word = word[1:word.index('/')]
else:
word = word[0:word.index('/')]
word_length = len(word)
if word_length > max_length: # 更新最大长度
max_length = word_length
word_dic.add(word)
# 转化为列表 更容易
word_list = list(word_dic)
word_list.sort()
# 生成词典'dic.txt'
dic_file = open(writo_path,'w',encoding = 'utf-8')
dic_file.write('\n'.join(word_list))
dic_file.close()
return max_length, word_dic
# get_train_test()
# 客户端
# max_Length,word_dic = gene_dic(from_file='TrainFiles/train_1.txt',encoding='utf-8')
# print("the max length of the word is :"+ str(max_Length))
# print(len(word_dic)) # 如检查请取消这三行注释