Discover trending topics of interest to governments

Abstract

Users on Twitter post millions of tweets every day from all over the world. Analyzing such data has received significant attention in the last decade. While most of the previous work focused on business-related analysis, our study focuses on the perspective of governments, with Dubai as a case study. We collected corpus of tweets related to Dubai, spanning over the period of 4 months. We then used text mining and clustering techniques to analyze the tweets. We show that existing techniques for detecting, automatically, the best number of clusters would fail in such data. The empirical study was able to discover trending topics and events about Dubai in the period of study.