학술논문

Automatic Privacy Preservation for User-based Data Sharing on Social Media
Document Type
Conference
Source
2020 Zooming Innovation in Consumer Technologies Conference (ZINC) Consumer Technologies Conference (ZINC), 2020 Zooming Innovation in. :227-230 May, 2020
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Feature extraction
Social network services
Text categorization
Videos
Face recognition
Machine learning algorithms
Classification algorithms
text classification
neural networks
convolutional neural networks
deep learning
image recognition
face recognition
feature extraction
Language
Abstract
Social media networking has turned out to be an essential factor for people wherein from sharing relevant documents to exchanging messages; everything is taken place via these social media sites. However, on social media, when a new user joins the group, (s)he must not be given access to all the previous messages. Hence it is necessary to predict the relationship between the users. This primary aim is to predict the link by taking into consideration using three criteria, which includes classifying sentiments from text messages, recognizing faces from pictures and videos posted on social media to find the relationship between the users. Various algorithms and methods were studies for this purpose wherein neural networks can be used for predicting the relationship between the users.