提取最常用的单词，然后使用python将其附加到csv文件中

import nltk
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
from collections import Counter
import csv

# 下载nltk所需的数据
nltk.download('punkt')
nltk.download('stopwords')

# 读取文本文件
with open('input.txt', 'r') as file:
    text = file.read()

# 分词
tokens = word_tokenize(text)

# 去除停用词
stop_words = set(stopwords.words('english'))
filtered_tokens = [token for token in tokens if token.lower() not in stop_words]

# 计算单词频率
word_freq = Counter(filtered_tokens)

# 提取最常用的单词
most_common_words = word_freq.most_common(10)

# 将结果写入CSV文件
with open('output.csv', 'a', newline='') as file:
    writer = csv.writer(file)
    writer.writerow(['Word', 'Frequency'])
    writer.writerows(most_common_words)