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.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Content Based Filtering In Social Networking Sites Using Web Apllication

In consideration to the today’s globalized world everybody in the society are being addicted in using the Social

متن کامل

Graph matching: filtering databases of graphs using machine learning techniques

Graphs are a powerful concept useful for various tasks in science and engineering. In applications such as pattern recognition and information retrieval, object similarity is an important issue. If graphs are used for object representation, then the problem of determining the similarity of objects turns into the problem of graph matching. Some of the most common graph matching paradigms include...

متن کامل

Using Machine Learning Algorithms for Automatic Cyber Bullying Detection in Arabic Social Media

Social media allows people interact to express their thoughts or feelings about different subjects. However, some of users may write offensive twits to other via social media which known as cyber bullying. Successful prevention depends on automatically detecting malicious messages. Automatic detection of bullying in the text of social media by analyzing the text "twits" via one of the machine l...

متن کامل

Machine Learning Techniques in Spam Filtering

The article gives an overview of some of the most popular machine learning methods (Bayesian classification, k-NN, ANNs, SVMs) and of their applicability to the problem of spam-filtering. Brief descriptions of the algorithms are presented, which are meant to be understandable by a reader not familiar with them before. A most trivial sample implementation of the named techniques was made by the ...

متن کامل

Machine Learning Techniques for Document Filtering

BoozoAllen & Hamilton's Advanced Decision Systems Division is conducting a program of research to investigate machine learning techniques that can automatically construct probabilistic structures from a training set of documents with respect to a single target filtering concept, or a set of related concepts. These structures can then be applied to individual documents to derive a posterior prob...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Advances in parallel computing

سال: 2021

ISSN: ['1879-808X', '0927-5452']

DOI: https://doi.org/10.3233/apc210226