删除Tensorflow extended中的停止字

import nltk
from nltk.corpus import stopwords

def remove_stopwords(text):
    # 下载停用词列表
    nltk.download('stopwords')
    
    # 获取英文停用词列表
    stop_words = set(stopwords.words('english'))
    
    # 删除停用词
    filtered_words = [word for word in text.split() if word.lower() not in stop_words]
    
    # 返回处理后的文本
    return ' '.join(filtered_words)

# 示例文本
text = "This is an example sentence."

# 删除停用词
filtered_text = remove_stopwords(text)

print(filtered_text)

import tensorflow_transform as tft

def remove_stopwords(text):
    # 停用词列表
    stop_words = ['a', 'an', 'the', 'is', ...]  # 根据需求添加其他停用词
    
    # 删除停用词
    filtered_words = [word for word in text.split() if word.lower() not in stop_words]
    
    # 返回处理后的文本
    return ' '.join(filtered_words)

# 示例文本
text = "This is an example sentence."

# 删除停用词
filtered_text = remove_stopwords(text)

print(filtered_text)