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  Published Paper Details:

  Paper Title

CHAT SYSTEM BASED ON FILTERED CONTENTS

  Authors

  Mukti,  Nishtha Varshney,  Ashish Trivedi,  Neha srivastava,  Dr Manish Gupta

  Keywords

Dictionary, Named Entity Recognition, Natural Language Processing, Networking, Parts of Speech tagging, Sentimental Analysis, Stemming, Tokenization

  Abstract


An application to monitor the use of abusive and vulgar language on chats on social media networks to prevent users from being obscene can play a part in modifying the way users interact with each other. �Friendly chat� is a play on a group chatting application, users can discuss a range of topics that is completely unrestricted. When things start heating up a user may become abusive towards other users, at times like this the application will quickly diffuse the situation by deploying preventive measures, stopping the abusive user in his tracks. Using classification and machine learning techniques such as simple Naive Bayes. There has been an emerging trend of a vast number of chat applications which are present in the recent years to help people to connect with each other across different mediums, like Hike, WhatsApp, Telegram, etc. The proposed chat application used for chatting purpose with users connected to the internet, and it will not let the user send inappropriate messages.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2007320

  Paper ID - 196180

  Page Number(s) - 3196-3200

  Pubished in - Volume 8 | Issue 7 | July 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mukti,  Nishtha Varshney,  Ashish Trivedi,  Neha srivastava,  Dr Manish Gupta,   "CHAT SYSTEM BASED ON FILTERED CONTENTS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 7, pp.3196-3200, July 2020, Available at :http://www.ijcrt.org/papers/IJCRT2007320.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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