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  TITLE
  Custom preprocessing of text
  
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  1
  
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  I feel like this a silly question. But I just thought in using BERT, wait, before working with fasttext for example I had to do preprocessing like word stemming/lemmatization and stopwords. How is the advise for using BERT models?
  
  Does it makes problems if I do stemming or lemmatization before feeding to BERT tokenizer?
  
  questions over questions...