Automatic Privacy Preservation for User-based Data Sharing on Social Media

被引:0
作者
Han, Wenlin [1 ]
Bafna, Yugali [1 ]
机构
[1] Calif State Univ Fullerton, Comp Sci Dept, Fullerton, CA 92634 USA
来源
2020 ZOOMING INNOVATION IN CONSUMER TECHNOLOGIES CONFERENCE (ZINC) | 2020年
关键词
text classification; neural networks; convolutional neural networks; deep learning; image recognition; face recognition; feature extraction;
D O I
10.1109/zinc50678.2020.9161804
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:227 / 230
页数:4
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