A Natural language processing (NLP) Flask based web app where you upload a .txt file with spelling mistakes and get the incorrect text rectified. The rectified or correct text is presented as an Output.

Natural language processing (NLP) refers to the branch of computer science—and more specifically, the branch of artificial intelligence or AI—concerned with giving computers the ability to understand text and spoken words in much the same way human beings can.

Dirty data leads to bad model quality. In real-world NLP problems we often meet texts with a lot of typos.  As the result, we are unable to reach the best score.  As painful as it may be, data should be cleaned before fitting. We need an automatic spelling corrector which can fix words with typos and, at the same time not break correct spellings.

Requirements

All the code is written in python 3.7 and the following packages are used:

1. Flask==1.1.1
2. gunicorn==20.0.4
3. textblob==0.15.3
4. pyspellchecker==0.5.5
5. regex==2020.7.14