Machine Learning for Social Media Analytics

Modeling Interactions in Web Forums

The ability to accurately identify “reply-to” relations in online discussions has important implications for various social media analytics applications. However, accurately identifying such interactions remains a challenge, with existing methods providing inadequate performance. In this study, we propose a novel method for modeling social media interactions. The proposed method leverages sever...

“Social Media and Forced Displacement: Big Data Analytics & Machine-Learning”

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...

Twitris: A System for Collective Social Intelligence

Social Media Analytics The practice of gathering data from social media websites and analyzing that data to gain new insights, facilitate informed decisions and actions Semantic Web Semantic Web is a group of methods and technologies to help machines and humans understand the meaning — or " semantics " — of data on the World Wide Web Spatio-Temporal-Thematic (STT) Analysis Social media analytic...

A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics

The increasing quality of smartphone cameras and variety of photo editing applications, in addition to the rise in popularity of image-centric social media, have all led to a phenomenal growth in mobile-based photography. Advances in computer vision and machine learning techniques provide a large number of cloud-based services with the ability to provide content analysis, face recognition, and ...