AttributeError: 'CountVectorizer' object has no attribute 'get_feature_names'

This error occurs when you try to call the `get_feature_names` method on a `CountVectorizer` object, but the object does not have this attribute.

One possible reason for this error is that you have not fit the `CountVectorizer` object to your data yet. The `get_feature_names` method is only available after you have called the `fit_transform` or `fit` method on the `CountVectorizer` object.

Here is an example of how to use `CountVectorizer` and call `get_feature_names` method:

from sklearn.feature_extraction.text import CountVectorizer

# create a CountVectorizer object
vectorizer = CountVectorizer()

# fit the vectorizer to your data
X = ['this is a sample sentence', 'another example sentence']
vectorizer.fit_transform(X)

# get the feature names
feature_names = vectorizer.get_feature_names()
print(feature_names)

This should output a list of the unique words in your data:

['another', 'example', 'is', 'sample', 'sentence', 'this']