Filtering Unwanted Text & Images from Online Social Network User Wall - Zanwar, Shubham G.;Vaidya, Milindkumar B.
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Online Social Network are today one of the most popular medium for interaction between people to share data or resources. In Online Social Network a technique called information filtering used for a different responsive function. Proposing to develop rules which can block user posts over social networks those who have vulgar contents or abuse words and also al- lowing to block graphical images post which are abuse by using filtering rules. A reality is accepted that in Online Social Networks there is the possibility of posting image or posting text on public or private regions, usually called…mehr

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Produktbeschreibung
Online Social Network are today one of the most popular medium for interaction between people to share data or resources. In Online Social Network a technique called information filtering used for a different responsive function. Proposing to develop rules which can block user posts over social networks those who have vulgar contents or abuse words and also al- lowing to block graphical images post which are abuse by using filtering rules. A reality is accepted that in Online Social Networks there is the possibility of posting image or posting text on public or private regions, usually called walls. Information filtering can therefore be used to give users the ability to automatically control the messages written and image on their private walls, by filtering unnecessary posts. Online Social Network provide less support to prevent unwanted messages on walls of user. Facebook gives permission for users to state who has authority to insert messages on their walls means friends, friends of friends,acquaintance,etc.
Autorenporträt
Prof. Shubham Girish Zanwar has completed M.E.(Computer Engineering) from Savitribai Phule Pune University,Pune,Maharashtra,INDIA. He had attended and presented research papers in multiple National and International Conferences. His area of interest includes Data Mining and Big Data.