This project aims to provide an api for removing bad words and improve the overall experience of the online communications.

1. Detecting Bad words and substituting it with food names\
2. Detecting the toxicity of the comment/text

a. Cleaning the text by using text hero-Tokenization,Punctuation removal
b. POS tagging
c. RULE based removal of bad words based on POS Tags

a. Pre processing of text for BERT model[tokenization using BERT tokenizer]
b. Adding layers on top of BERT
c. Fine tuning on dataset
d. Validation
e. Predicting for single query

[

python -m nltk.downloader universal_tagset
python -m spacy download en 

'Boolean Questions': ['Is sachin ramesh tendulkar the highest run scorer in '
                       'cricket?',
                       'Is sachin ramesh tendulkar the highest run scorer in '
                       'cricket?',
                       'Is sachin tendulkar the highest run scorer in '
                       'cricket?']

a. Spacy Encore Sm
b. BERT

MIT

[](#link to your linkedin)