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Inappropriate Language Detection using Machine Learning


Garvit Kumar Arya , IMS Engineering College, Ghaziabad; Mayank Sharma, IMS Engineering College, Ghaziabad; Aditya Jyala, IMS Engineering College, Ghaziabad


Machine Learning


The objective of this paper was to develop such a mechanism which can be embedded with social media platforms to stop the inappropriate content to push over the internet. when someone does their comments on a post then there are chances that the comment contains abusive, obscene, insult, threat and similar kind of content for someone which cross the boundaries of social media platforms so to tackle such a problem "Online Abusive Comment Detector" plays a massive role. It detects the content and its kind i.e abuse, insult, e.t.c and on the basis of content send a notification as a warning to the user that the comment you have done contains an inappropriate language and suggest him/her to change the language and if he/she does not do so then his/her account may be blocked for a limited time period.

Other Details

Paper ID: IJSRDV7I30178
Published in: Volume : 7, Issue : 3
Publication Date: 01/06/2019
Page(s): 137-138

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