Open AccessA Machine Learning based Preventing the Occurrence of Cyber Bullying Messages on OSN
Author(s) -
Kaki Leela Prasad,
Pilaka Anusha,
MaradaSrinivasaa Rao,
K.Venakata Rao
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.a9164.078219
Subject(s) - offensive , harassment , meaning (existential) , social media , internet privacy , the internet , computer science , depiction , process (computing) , computer security , psychology , world wide web , social psychology , engineering , literature , art , operations research , psychotherapist , operating system
The process of threaten or harassment of any user with the help of posting wrong/abused or vulgar messages using the social media in the internet is known as Cyber bullying .These messages may sometime contain a text posted by a teen, or preteen or a child who want to threaten or harassed or embarrassed other child by posting the messages. So in this project, we mainly try to propose another depiction learning strategy to handle this issue known as SEMdae. Here the semantic augmentation comprises of predefined words that contain noise or abused meaning which is posted into the database by the admin and these words are classified based on the five categories that are available in the literature like “HATE, VULGAR, OFFENSIVE, SEX, and VOILENCE”.