如何在一遍中对NLP文本进行预处理(小写、删除特殊字符、删除数字、删除电子邮件等)？

import re

def preprocess_text(text):
    # 小写化
    text = text.lower()
    
    # 删除特殊字符
    text = re.sub(r'[^\w\s]', '', text)
    
    # 删除数字
    text = re.sub(r'\d+', '', text)
    
    # 删除电子邮件
    text = re.sub(r'\S+@\S+', '', text)
    
    return text

# 示例文本
text = "Hello, this is an example text! My email is example@example.com. 1234567890"

# 预处理文本
processed_text = preprocess_text(text)

print(processed_text)

hello this is an example text my email is