Python初学者:预处理python中的法语文本，并使用词典计算极性

import re
from nltk.corpus import stopwords

def preprocess_text(text):
    # 分词
    words = text.split()
    # 去除停用词
    stop_words = set(stopwords.words('french'))
    words = [word for word in words if word not in stop_words]
    # 去除标点符号
    words = [re.sub(r'[^\w\s]', '', word) for word in words]
    # 转换为小写
    words = [word.lower() for word in words]
    return words

def calculate_polarity(words, polarity_dict):
    polarity = 0
    for word in words:
        if word in polarity_dict:
            polarity += polarity_dict[word]
    return polarity

# 极性词典示例
polarity_dict = {
    '好': 1,
    '坏': -1,
    '优秀': 2,
    '糟糕': -2,
}

text = "这本书非常好，内容优秀。"
preprocessed_text = preprocess_text(text)
polarity = calculate_polarity(preprocessed_text, polarity_dict)
print("文本极性：", polarity)