python 3.x - SklearnClassifier(MultinomialNB()).train() MemoryError -


following code using in natural language processing:-

training_set = featuresets[:10000] testing_set = featuresets[10000:] mnb_classifier = sklearnclassifier(multinomialnb()) mnb_classifier.train(training_set)

the above code giving following error: -

traceback (most recent call last): file "d:\users\siddharth.u\documents\natural language processing\creating module sentiment analysis nltk\creating module sentiment analysis nltk.py", line 103, in mnb_classifier.train(training_set) file "d:\users\siddharth.u\appdata\local\continuum\anaconda3\lib\site-packages\nltk\classify\scikitlearn.py", line 117, in train x = self._vectorizer.fit_transform(x) file "d:\users\siddharth.u\appdata\local\continuum\anaconda3\lib\site-packages\sklearn\feature_extraction\dict_vectorizer.py", line 230, in fit_transform return self._transform(x, fitting=true) file "d:\users\siddharth.u\appdata\local\continuum\anaconda3\lib\site-packages\sklearn\feature_extraction\dict_vectorizer.py", line 172, in _transform values.append(dtype(v)) memoryerror


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