Content Filtering of Social Media Sites Using Machine Learning Techniques
نویسندگان
چکیده
To build a social network or relations between people, we use networking platforms like Facebook, Twitter, apps, etc. Using this media, users can share their views and opinions about particular thing. Many people media for personal interests, entertainment, the market stocks, business purposes. Nowadays, user security is major concern sites. Online networks give little bit of support regarding content filtering. In article, proposed system that provides malicious posted on filter might be unwanted messages, labeled images, vulgar three level architecture. The auto-blocking facility as well.
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ژورنال
عنوان ژورنال: Advances in parallel computing
سال: 2021
ISSN: ['1879-808X', '0927-5452']
DOI: https://doi.org/10.3233/apc210226