My ever changing moods: sentiment-based event detection on the cloud

Abstract

Twitter is a globally used micro-blogging platform with hundreds of millions of tweets sent every day. Many researchers have explored Twitter analytics across a wide range of areas such as topic modeling, sentiment analysis, event detection, as well as the application of Twitter for a variety of domain-specific application areas, e.g. disaster management. One area that has not been explored is how changes in sentiment can be used to identify events. In this paper we present a scalable Cloud-based platform for harvesting, processing, analyzing and visualizing large-scale Twitter data. We focus especially on how changes in sentiment can be used to identify events in given contexts. What is nov..