How to handle spelling mistakes in UnigramTagger in nltk python?

Question

I am doing Named Entity Recognition using python nltk library.I am using UnigramTagger to custom tag tokens.And its happening perfectly fine. The problem is the tagger exactly tags to words that I mention in my model.With any spelling mistake,it fails to find the word. How do I solve this problem? I liked how fuzzywuzzy allows ratio search but don't know if the same functionality is provided by any nltk tagger .Need some help here.Thanks.

Answer 1

You need to correct spellings before Named Entity Recognition. You can do this from following url..

spell checker