An Event Search Platform Using Machine Learning

Authors

Abstract

Currently, the technology evolution allows to find which events occurs around us at any given location. Social networks are one of the reasons of this trend and new applications are emerging aiming at finding and disclosing events. This paper intends to propose a platform of event searching. In particular, we propose a new architecture using machine learning to classify events with tags. An experimental evaluation with different types of algorithms was done using Facebook as a source of dataset events.

Keywords

data minning, events search platforms, Random Forest, IBk, SMO, Information Gain Feature Selection

Subject

Events Search Platforms

Conference

29th International Conference on Software Engineering & Knowledge Engineering, July 2017

DOI