UnicodeDecodeError in NLTK word_tokenize despite I force-encode

I first convert the pdf to plain text (I print it out and everything is fine) and then I get a UnicodeDecodeError when I try to run word_tokenize () from NLTK.

I am getting this error despite trying to decode ('utf-8'). encode ('utf-8') in plain text beforehand. In the traceback, I noticed that the line of code from word_tokenize () that throws the error first is plaintext.split ('\ n'). This is why I tried to reproduce the error by running split ('\ n') on plain text, but still, that doesn't throw any errors either.

So, I don't understand what is causing the error and how to avoid it.

Any help would be greatly appreciated! :) Maybe I could avoid this by changing something in the pdf_to_txt file?

Here's the code for tokenize:

from cStringIO import StringIO
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
import os
import string
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.converter import TextConverter
from pdfminer.layout import LAParams
from pdfminer.pdfpage import PDFPage

stopset = stopwords.words('english')
path = 'my_folder'
listing = os.listdir(path)
for infile in listing:
        text = self.convert_pdf_to_txt(path+infile)
        text = text.decode('utf-8').encode('utf-8').lower()
        print text
        splitted = text.split('\n')
        filtered_tokens = [i for i in word_tokenize(text) if i not in stopset and i not in string.punctuation]

      

        
        
        
      

    

Here's the method I'm calling to convert from pdf to txt:

def convert_pdf_to_txt(self, path):
    rsrcmgr = PDFResourceManager()
    retstr = StringIO()
    codec = 'utf-8'
    laparams = LAParams()
    device = TextConverter(rsrcmgr, retstr, codec=codec, laparams=laparams)
    fp = file(path, 'rb')
    interpreter = PDFPageInterpreter(rsrcmgr, device)
    password = ""
    maxpages = 0
    caching = True
    pagenos=set()
    for page in PDFPage.get_pages(fp, pagenos, maxpages=maxpages, password=password,caching=caching, check_extractable=True):
        interpreter.process_page(page)
    fp.close()
    device.close()
    ret = retstr.getvalue()
    retstr.close()
    return ret

      

        
        
        
      

    

Here's a trace of the error I'm getting:

    Traceback (most recent call last):
  File "/home/iammyr/opt/workspace/task-logger/task_logger/nlp/pre_processing.py", line 65, in <module>
    obj.tokenizeStopWords()
  File "/home/iammyr/opt/workspace/task-logger/task_logger/nlp/pre_processing.py", line 29, in tokenizeStopWords
    filtered_tokens = [i for i in word_tokenize(text) if i not in stopset and i not in string.punctuation]
  File "/usr/local/lib/python2.7/dist-packages/nltk/tokenize/__init__.py", line 93, in word_tokenize
    return [token for sent in sent_tokenize(text)
  [...]
  File "/usr/local/lib/python2.7/dist-packages/nltk/tokenize/punkt.py", line 586, in _tokenize_words
    for line in plaintext.split('\n'):
UnicodeDecodeError: 'ascii' codec can't decode byte 0xc2 in position 9: ordinal not in range(128)

      

        
        
        
      

    

Thanks a million and a bust of good karma!;)