[英]Unable to remove special characters with the help of regex with nltk
無法在正則表達式和 nltk 的幫助下刪除特殊字符。
代碼是
X, y = data.comments, data.sentiment
其次是
documents = []
from nltk.stem import WordNetLemmatizer
stemmer = WordNetLemmatizer()
for sen in range(0, len(X)):
# Remove all the special characters
document = re.sub(r'\W', ' ', str(X[sen]))
# remove all single characters
document = re.sub(r'\s+[a-zA-Z]\s+', ' ', document)
# Remove single characters from the start
document = re.sub(r'\^[a-zA-Z]\s+', ' ', document)
# Substituting multiple spaces with single space
document = re.sub(r'\s+', ' ', document, flags=re.I)
# Removing prefixed 'b'
document = re.sub(r'^b\s+', '', document)
# Converting to Lowercase
document = document.lower()
# Lemmatization
document = document.split()
document = [stemmer.lemmatize(word) for word in document]
document = ' '.join(document)
documents.append(document)
它返回的錯誤如下
KeyError Traceback (most recent call last)
~\anaconda3\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key, method, tolerance)
3079 try:
-> 3080 return self._engine.get_loc(casted_key)
3081 except KeyError as err:
pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.Int64HashTable.get_item()
pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.Int64HashTable.get_item()
KeyError: 9
The above exception was the direct cause of the following exception:
KeyError Traceback (most recent call last)
<ipython-input-16-f9320c54a8cb> in <module>
7 for sen in range(0, len(X)):
8 # Remove all the special characters
----> 9 document = re.sub(r'\W', ' ', str(X[sen]))
10
11 # remove all single characters
~\anaconda3\lib\site-packages\pandas\core\series.py in __getitem__(self, key)
822
823 elif key_is_scalar:
--> 824 return self._get_value(key)
825
826 if is_hashable(key):
~\anaconda3\lib\site-packages\pandas\core\series.py in _get_value(self, label, takeable)
930
931 # Similar to Index.get_value, but we do not fall back to positional
--> 932 loc = self.index.get_loc(label)
933 return self.index._get_values_for_loc(self, loc, label)
934
~\anaconda3\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key, method, tolerance)
3080 return self._engine.get_loc(casted_key)
3081 except KeyError as err:
-> 3082 raise KeyError(key) from err
3083
3084 if tolerance is not None:
KeyError: 9
我不知道為什么它不起作用,僅刪除特殊字符代碼不起作用。 我正在嘗試清理數據,目標變量是 y,問題案例是二進制分類。 僅刪除特殊字符是行不通的。
將此行上的索引從純切片更改為iloc
:
document = re.sub(r'\W', ' ', str(X.iloc[sen]))
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