pythonテキスト処理(単語を結合して記号を除去する)

import re
import jieba.analyse
import codecs
import pandas as pd

def simplification_text(xianbingshi):
    """    """
    xianbingshi_simplification = []
    with codecs.open(xianbingshi,'r','utf8') as f:
        for line in f :
            line = line.strip()
            line_write = re.findall('(?<=\).*?(?=\)',line)
            for line in line_write:
                xianbingshi_simplification.append(line)
    with codecs.open(r'C:\Users\Administrator.SC-201812211013\PycharmProjects\untitled29\yiwoqu\code\xianbingshi_write.txt','w','utf8') as f:
        for line in xianbingshi_simplification:
            f.write(line + '
')
def jieba_text():
    """"""
    word_list = []
    data = open(r"C:\Users\Administrator.SC-201812211013\PycharmProjects\untitled29\xianbingshi_write.txt", encoding='utf-8').read()
    seg_list = jieba.cut(data, cut_all=False)  #     
    for i in seg_list:
        word_list.append(i.strip())
    data_quchong = pd.DataFrame({'a':word_list})
    data_quchong.drop_duplicates(subset=['a'],keep='first',inplace=True)
    word_list = data_quchong['a'].tolist()
    with codecs.open('word.txt','w','utf8')as w:
        for line in word_list:
            w.write(line + '
')
def word_messy(word):
    """    """
    word_sub_list = []
    with codecs.open(word,'r','utf8') as f:
        for line in f:
            line_sub = re.sub("^[1-9]\d*\.\d*|^[A-Za-z0-9]+$|^[0-9]*$|^(-?\d+)(\.\d+)?$|^[A-Za-z0-9]{4,40}.*?",'',line)
            word_sub_list.append(line_sub)
    word_sub_list.sort()
    with codecs.open('word.txt','w','utf8')as w:
        for line in word_sub_list:
            w.write(line.strip("
") + '
')

if __name__ == '__main__':
    xianbingshi = r'C:\Users\Administrator.SC-201812211013\PycharmProjects\untitled29\yiwoqu\xianbingshi_sub_sen_all(1).txt'
    # simplification_text(xianbingshi)
    # word = r'C:\Users\Administrator.SC-201812211013\PycharmProjects\untitled29\word.txt'
    simplification_text(xianbingshi)

 
転載先:https://www.cnblogs.com/yiwoqu/p/11542002.html