A Goswami, A Kumar - Social Network Analysis and Mining, 2016 - Springer
The online social networks (OSNs) have become an important platform for detecting real- world event in recent years. These real-world events are detected by analyzing huge social …
During natural disasters, people use social media platforms to share their opinions and general information about the event. Here, we investigate the public response to large and …
Interactions via social media platforms have made it possible for anyone, irrespective of physical location, to gain access to quick information on events taking place all over the …
Requirements in computational power have grown dramatically in recent years. This is also the case in many language processing tasks, due to the overwhelming and ever increasing …
Everyday, security experts face a growing number of security events that affecting people well-being, their information systems and sometimes the critical infrastructure. The sooner …
We investigate the predictive power behind the language of food on social media. We collect a corpus of over three million food-related posts from Twitter and demonstrate that many …
Every day, large-scale data are continuously generated on social media as streams, such as Twitter, which inform us about all events around the world in real-time. Notably, Twitter is …
We introduce ReDites, a system for realtime event detection, tracking, monitoring and visualisation. It is designed to assist Information Analysts in understanding and exploring …
The increasing popularity of Twitter as social network tool for opinion expression as well as information retrieval has resulted in the need to derive computational means to detect and …