NLP数据清洗：去除HTML标签、URL链接、数字、标点等噪音信息

[python]代码库

import re
import string
import nltk
nltk.download('stopwords')
from nltk.corpus import stopwords

def clean_text(text):
    text = re.sub(r'<.*?>', '', text)  # 去除HTML标签
    text = re.sub(r'http\S+', '', text)  # 去除URL链接
    text = re.sub(r'\d+', '', text)  # 去除数字
    text = text.translate(str.maketrans('', '', string.punctuation))  # 去除标点符号
    text = text.lower()  # 转换为小写字母
    stopwords_set = set(stopwords.words('english'))  # 获取停用词集合
    words = nltk.word_tokenize(text)  # 分词
    words = [w for w in words if w not in stopwords_set]  # 去除停用词
    text = ' '.join(words)
    return text