Question

我试图测试从csv文件加载数据到TextBlob以创建分类器，然后我将使用训练集进行测试。我开始使用一个小的csv来测试它并确保它工作，然后我为真实的东西写了数百行。但是，我遇到了一个问题。我正在使用TextBlob网站上列出的示例代码：

from textblob.classifiers import NaiveBayesClassifier

with open('testerdict.csv',) as fp:
    cl = NaiveBayesClassifier(fp, format="csv")

test = [
    ('The beer was good.', 'pos'),
    ('I do not enjoy my job', 'neg'),
    ("I ain't feeling dandy today.", 'neg'),
    ("I feel amazing!", 'pos'),
    ('Gary is a friend of mine.', 'pos'),
    ("I can't believe I'm doing this.", 'neg')
]
cl = NaiveBayesClassifier(fp)
print(cl.classify("This is an amazing library!"))
print(cl.accuracy(test))

我收到的错误取决于我如何格式化我的csv文件，所以我认为问题就在那里。如果我这样格式化：

！https://ibb.co/nx3ttx

我收到此错误：ValueError：关闭文件的I / O操作。

如果我这样格式化：

！https://ibb.co/i6LHLc

我收到此错误：ValueError：没有足够的值来解包（预期2，得到1）

就像我说的那样，我刚刚制作了一个非常快速和基本的csv，因此我可以理解如何正确地格式化它并将其加载到TextBlob中以便为分类器训练数据。有没有人对可能出错的地方有任何想法？

提前致谢。

编辑：按要求完全追溯：

  File "C:\Users\Ver\AppData\Local\Programs\Python\Python36-32\SA Project\Work\tester.py", line 14, in <module>
    cl = NaiveBayesClassifier(fp)
  File "C:\Users\Ver\AppData\Local\Programs\Python\Python36-32\lib\site-packages\textblob\classifiers.py", line 205, in __init__
    super(NLTKClassifier, self).__init__(train_set, feature_extractor, format, **kwargs)
  File "C:\Users\Ver\AppData\Local\Programs\Python\Python36-32\lib\site-packages\textblob\classifiers.py", line 136, in __init__
    self.train_set = self._read_data(train_set, format)
  File "C:\Users\Ver\AppData\Local\Programs\Python\Python36-32\lib\site-packages\textblob\classifiers.py", line 148, in _read_data
    format_class = formats.detect(dataset)
  File "C:\Users\Ver\AppData\Local\Programs\Python\Python36-32\lib\site-packages\textblob\formats.py", line 145, in detect
    if Format.detect(fp.read(max_read)):
ValueError: I/O operation on closed file.

Answer 1

这对我有用，第二次调用NaiveBayesClassifier已被删除。是否有必要再次调用构造函数？好像它已经在with语句中完成了：

from textblob.classifiers import NaiveBayesClassifier

with open('<path to your file>.csv',) as fp:
    cl = NaiveBayesClassifier(fp, format="csv")

test = [('The beer was good.', 'pos'),
        ('I do not enjoy my job', 'neg'),
        ("I ain't feeling dandy today.", 'neg'),
        ("I feel amazing!", 'pos'),
        ('Gary is a friend of mine.', 'pos'),
        ("I can't believe I'm doing this.", 'neg')]
#cl = NaiveBayesClassifier(fp)
print(cl.classify("This is an amazing library!"))
print(cl.accuracy(test))

我使用了此处描述的CSV格式：http://textblob.readthedocs.io/en/dev/classifiers.html#classifying-text

Python TextBlob：无法加载classifer csv进行培训

1 个答案: