Question

我正在学习python中的word2vec和GloVe模型，所以我正在浏览这个可用的here。

在Idle3中逐步编译这些代码之后：

>>>from gensim.models import word2vec
>>>import logging
>>>logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
>>>sentences = word2vec.Text8Corpus('text8')
>>>model = word2vec.Word2Vec(sentences, size=200)

我收到此错误：

2017-01-13 11:15:41,471 : INFO : collecting all words and their counts
Traceback (most recent call last):
  File "<pyshell#4>", line 1, in <module>
    model = word2vec.Word2Vec(sentences, size=200)
  File "/usr/local/lib/python3.5/dist-packages/gensim/models/word2vec.py", line 469, in __init__
    self.build_vocab(sentences, trim_rule=trim_rule)
  File "/usr/local/lib/python3.5/dist-packages/gensim/models/word2vec.py", line 533, in build_vocab
    self.scan_vocab(sentences, progress_per=progress_per, trim_rule=trim_rule)  # initial survey
  File "/usr/local/lib/python3.5/dist-packages/gensim/models/word2vec.py", line 545, in scan_vocab
    for sentence_no, sentence in enumerate(sentences):
  File "/usr/local/lib/python3.5/dist-packages/gensim/models/word2vec.py", line 1536, in __iter__
    with utils.smart_open(self.fname) as fin:
  File "/usr/local/lib/python3.5/dist-packages/smart_open-1.3.5-py3.5.egg/smart_open/smart_open_lib.py", line 127, in smart_open
    return file_smart_open(parsed_uri.uri_path, mode)
  File "/usr/local/lib/python3.5/dist-packages/smart_open-1.3.5-py3.5.egg/smart_open/smart_open_lib.py", line 558, in file_smart_open
    return open(fname, mode)
FileNotFoundError: [Errno 2] No such file or directory: 'text8'

我该如何纠正这个问题？在此先感谢您的帮助。

Answer 1

看来你错过了这里使用的文件。具体来说，它正在尝试打开text8但无法找到它（因此FileNotFoundError）。

您可以按照here所述的in the documentation for Text8Corpus下载文件本身：

Docstring:      
Iterate over sentences from the "text8" corpus, unzipped from http://mattmahoney.net/dc/text8.zip .

并使其可用。提取，然后将其作为参数提供给Text8Corpus：

sentences = word2vec.Text8Corpus('/path/to/text8')

gensim入门错误：没有这样的文件或目录：＆＃39; text8＆＃39;

1 个答案: