Real-Time Event Localization and Detection Over Social Networks Using Apache Intelligence

Abstract

Today, the event detection activity is becoming increasingly more complex with the emergence of the Big Data phenomenon. More specifically, different social networks and microblogging services are leading to the massive explosion of data describing the real world. Multiple conducted works highlight the role of textual data as the simplest form to report actualities and to describe real-time events. But, the variety of the proposed solutions with high complexity degrees reveals big challenges that are hidden behind the nature of those data. A concentrated study around some established works for event detection over textual data published on social networks allows us to meet limits of proposed solutions. These limits are the main areas of research leading to the proposal of a new approach for a real-time localization and detection of events over textual data posted on social networks. This approach takes benefit from a set of Apache platforms for efficient treatment of the huge streams of data.