python中读入文件jieba分词，使用字典和停用词，再将结果写入文件

具体代码如下

# -*- encoding=utf-8 -*-
import jieba.analyse
import jieba
import pandas as pd

# 载入自定义词典
jieba.load_userdict('dict.txt')
# 载入自定义停止词
jieba.analyse.set_stop_words('stop_words.txt')
# 去掉中英文状态下的逗号、句号
def clearSen(comment):
    comment = comment.strip()
    comment = comment.replace('、', '')
    comment = comment.replace('，', '。')
    comment = comment.replace('《', '。')
    comment = comment.replace('》', '。')
    comment = comment.replace('～', '')
    comment = comment.replace('…', '')
    comment = comment.replace('\r', '')
    comment = comment.replace('\t', ' ')
    comment = comment.replace('\f', ' ')
    comment = comment.replace('/', '')
    comment = comment.replace('、', ' ')
    comment = comment.replace('/', '')
    comment = comment.replace('。', '')
    comment = comment.replace('（', '')
    comment = comment.replace('）', '')
    comment = comment.replace('_', '')
    comment = comment.replace('?', ' ')
    comment = comment.replace('？', ' ')
    comment = comment.replace('了', '')
    comment = comment.replace('➕', '')
    comment = comment.replace('：', '')
    return comment

# 读取数据
# zhengce_content = pd.read_table('0020.txt', sep=',')
zhengce_content = pd.read_table('./2016_wenben/0007.txt', sep='\t')
# 数据重命名
zhengce_content.columns = ['content']

# 文件写入
outputfile = open('2016_jieba_output.txt', 'a+', encoding="utf-8")

for each in zhengce_content['content']:
    # 清除标点符号
    kk = clearSen(each)
    # 精确模式切词
    seg_list = jieba.cut(kk)
    comment = " ".join(seg_list)
    print(comment)
    # 写出数据
    outputfile.write(comment)
# 关闭文件
outputfile.close()