Hello,
I use this code to classify a text:
def classify(self, text):
vectorizer = CountVectorizer(vocabulary=self.vocabulary,
decode_error='replace', strip_accents='unicode',
preprocessor=self.mail_preprocessor,
stop_words='english', lowercase=True)
transformer = TfidfTransformer()
vectors = vectorizer.transform(text)
X = transformer.fit_transform(vectors)
return self.classifier.predict(X)
self.classifier and self.vocabulary has been pickled before and loaded in this
session. text is loaded from a file: open("testmail").read().
When I debug into self.mail_preprocessor the text to classify is simply an 'R',
though text at the function above is the content of testmail. Fitting with the
same preprocessor and similiar code, but with input='filename' to the
vectorizer works fine.
Why is the text truncated?
Thanks!
Florian
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