I'm reading a bunch of RTF files into python strings. On SOME texts, I get this error:
Traceback (most recent call last):
File "11.08.py", line 47, in <module>
X = vectorizer.fit_transform(texts)
File "C:\Python27\lib\site-packages\sklearn\feature_extraction\text.py", line
716, in fit_transform
X = super(TfidfVectorizer, self).fit_transform(raw_documents)
File "C:\Python27\lib\site-packages\sklearn\feature_extraction\text.py", line
398, in fit_transform
term_count_current = Counter(analyze(doc))
File "C:\Python27\lib\site-packages\sklearn\feature_extraction\text.py", line
313, in <lambda>
tokenize(preprocess(self.decode(doc))), stop_words)
File "C:\Python27\lib\site-packages\sklearn\feature_extraction\text.py", line
224, in decode
doc = doc.decode(self.charset, self.charset_error)
File "C:\Python27\lib\encodings\utf_8.py", line 16, in decode
return codecs.utf_8_decode(input, errors, True)
UnicodeDecodeError: 'utf8' codec can't decode byte 0x92 in position 462: invalid
start byte
I've tried:
Nothing works. Any ideas?
It's probably not related, but here's the code incase you are wondering:
f = open(dir+location, "r")
doc = Rtf15Reader.read(f)
t = PlaintextWriter.write(doc).getvalue()
texts.append(t)
f.close()
vectorizer = TfidfVectorizer(sublinear_tf=True, max_df=0.5, stop_words='english')
X = vectorizer.fit_transform(texts)
Keep this line :
vectorizer = TfidfVectorizer(encoding='latin-1',sublinear_tf=True, max_df=0.5, stop_words='english')
encoding = 'latin-1' worked for me.
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