如何使用NLTK从CSV文件中删除Stopword？

import nltk
import pandas as pd
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize

nltk.download('stopwords')
stop_words = set(stopwords.words('english'))

data = pd.read_csv('your_file.csv')
text_data = data['text_column'].tolist()  # 假设文本数据在CSV文件的'text_column'列中

filtered_data = []
for text in text_data:
    tokens = word_tokenize(text)  # 分词
    filtered_tokens = [token for token in tokens if token.lower() not in stop_words]  # 停用词过滤
    filtered_text = ' '.join(filtered_tokens)  # 连接过滤后的词汇
    filtered_data.append(filtered_text)

data['filtered_text'] = filtered_data  # 假设保存在新的'filtered_text'列中
data.to_csv('filtered_file.csv', index=False)