替换文章中的关键词

最近写豆瓣，写一写个人感想，现在的网络环境，就是很多不能说，有些词，不能通过审核，我自己手动把一些关键词替换掉。想到用Python直接写了一个简单脚本。

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import re
import os
from collections import Counter
import time
 
# import requests
# from scrapy import Selector
# import seaborn as sns
# import jieba
# import jieba.posseg as psg
 
plt.rcParams['font.family'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
# 
wk_dir = "2022——社会科学研究方法/test_替换敏感词"
data_dir = "2022——社会科学研究方法/test_替换敏感词/data_dir_politic_senti_replace"
 
#---------------------------------------------------------#
#----           *         *        ----#
#---------------------------------------------------------#
 
f_replace = open(os.path.join(data_dir, "dct_politic_senti.txt"),'r',  encoding="UTF-8").readlines()
f = open("2022——社会科学研究方法/test_替换敏感词/data_dir_politic_senti_replace/dct_politic_senti.txt", encoding="UTF-8")
with open("2022——社会科学研究方法/test_替换敏感词/data_dir_politic_senti_replace/dct_politic_senti.txt", encoding="UTF-8") as f:
    f.read()
f = open("2022——社会科学研究方法/test_替换敏感词/data_dir_politic_senti_replace/dct_politic_senti.txt", encoding="UTF-8")
dct_code  = f.readlines()
dct_code
 
dct_code = [x.strip() for x in dct_code]
dct_code
dct_code = [x.split(" ") for x in dct_code]
hanzi = [ x[0] for x in dct_code]
hanzi
yingwen = [ x[1] for x in dct_code]
yingwen
 
dct_repl = dict(zip(hanzi,yingwen))
dct_repl
 
txt = open(os.path.join(data_dir, "artical1.txt"), encoding="utf-8").read()
txt
 
 
for key, value in dct_repl.items():
    if key in txt:
        txt = txt.replace(key, value)
 
txt

需要一个字典。比如，把这些次替换掉。

 结果就是这样的，不知道能不能通过审核发布，

 关键代码是这一段，

for key, value in dct_repl.items():
    if key in txt:
        txt = txt.replace(key, value)

这一段，是一遍一遍筛选词，一遍一遍替换，效率有点低，但是还没想到更好更高效的解决办法。

希望有高手帮忙指点。