Comparison Analysis and Data Retrieval to identify the associated people in social media by Image Processing

Data retrieving, Data analyzing, and face recognition has become most famous and very often using technologies in computer applications today. So that, in recent years, there has been a lot of interest in researching the topics of Data retrieving, Data analyzing and facial recognition. When concerning Social Media platforms such as Instagram, Facebook, twitter, they have become more fastest growing social networks in the last three years. It let the users to share their status by uploading images with a descriptive text, a location, and certain hashtags that do not necessarily represent the substance of the pictures. So now the social media platforms have become most popular photo-sharing websites. But unfortunately, some people misuse these social media platforms for unethical activities such as sharing false propaganda and fake news, terrorist activities, unethical religious activities, illicit drug distributions etc. Therefore, this work is to recognize the suitable technologies that can be used to retrieve and analyze image data from social media platforms such as Demographic analysis, Text analysis, Image analysis, Snowball Technology and some of the face recognition technologies used in iPhone photos, face recognition technologies such as Eigenfaces technology, Neural Networks, Graph Matching, Line Edge Mapping for a system to retrieve and analyze image data from social media platforms and to identify the most associated people of a certain social media user.