QUALITY OF THE LOCATION AND PERSONALITY OF USERS IN SOCIAL MEDIA SITES

Abstract

The utilization of social media’s hyperbolic significantly in nowadays world allows users to share their data, like pictures, with the opposite. This improved technology results in privacy violations wherever users share massive volumes of pictures among many people. To supply security for the data, machine-controlled annotation of pictures aims to form the meta-information data concerning the pictures by mistreating the novel approach known as linguistics annotated Markovian linguistics Indexing (SMSI) for retrieving the pictures. To attain these privacy settings for the folk’s pictures, we tend to ar mistreatment accommodation Privacy Policy Prediction system. The projected system mechanically annotates the picture’s hidden Andre Mark off-model, and options are extracted by mistreatment color bar chart and Scale-invariant feature rework (or SIFT) descriptor methodology. Once these pictures are annotated, linguistics retrieval of pictures is done by mistreatment linguistic communication tool particularly Word web for measuring the linguistic similarity of annotated pictures within the info. The experimental result provides higher retrieval performance once compared with the prevailing system.