NLTK下载punkt、stopsword_nltk punkt下载

1、NLTK下载punkt并放置文件

from nltk import word_tokenize


sents = [sent1, sent2]
print(word_tokenize(sent1))
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报错：

D:\Anaconda3\python.exe "D:/002 知识总结/007 NLP/NLP入门文章/词袋模型与句子相似度.py"
[nltk_data] Error loading punkt: <urlopen error [SSL:
[nltk_data]     CERTIFICATE_VERIFY_FAILED] certificate verify failed:
[nltk_data]     unable to get local issuer certificate (_ssl.c:1123)>
Traceback (most recent call last):
  File "D:/002 知识总结/007 NLP/NLP入门文章/词袋模型与句子相似度.py", line 11, in <module>
    print(word_tokenize(sent1))
  File "D:\Anaconda3\lib\site-packages\nltk\tokenize\__init__.py", line 129, in word_tokenize
    sentences = [text] if preserve_line else sent_tokenize(text, language)
  File "D:\Anaconda3\lib\site-packages\nltk\tokenize\__init__.py", line 106, in sent_tokenize
    tokenizer = load("tokenizers/punkt/{0}.pickle".format(language))
  File "D:\Anaconda3\lib\site-packages\nltk\data.py", line 752, in load
    opened_resource = _open(resource_url)
  File "D:\Anaconda3\lib\site-packages\nltk\data.py", line 877, in _open
    return find(path_, path + [""]).open()
  File "D:\Anaconda3\lib\site-packages\nltk\data.py", line 585, in find
    raise LookupError(resource_not_found)
LookupError: 
**********************************************************************
  Resource punkt not found.
  Please use the NLTK Downloader to obtain the resource:

  >>> import nltk
  >>> nltk.download('punkt')
  
  For more information see: https://www.nltk.org/data.html

  Attempted to load tokenizers/punkt/english.pickle

  Searched in:
    - 'C:\\Users\\29617/nltk_data'
    - 'D:\\Anaconda3\\nltk_data'
    - 'D:\\Anaconda3\\share\\nltk_data'
    - 'D:\\Anaconda3\\lib\\nltk_data'
    - 'C:\\Users\\29617\\AppData\\Roaming\\nltk_data'
    - 'C:\\nltk_data'
    - 'D:\\nltk_data'
    - 'E:\\nltk_data'
    - ''
**********************************************************************


进程已结束，退出代码为 1
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解决方法：
【Python】nltk库使用报错之punkt安装：https://blog.csdn.net/weixin_43896318/article/details/106191856

2、NLTK下载stopwords并放置文件

英文文本分词之工具NLTK