Visualizing Demographics Based on Micro-blogger Tracking: Twitter Case Study

Abstract

Social media contains a lot of useful information that express different aspects of the society using unstructured and temporal data. The main challenge with social media is the huge amount of the data streams to be processed. Such huge data requires huge processing capabilities, including the power, time and cost.This research presents a framework to extract, analyze and visualize the demographics of any country using the micro blogger data streams such as twitter. This increases the ability to search for topics with hash tags per city for a specific country as well as applying data mining techniques. The proposed framework uses big data tools including Hadoop and Hive to analyze the huge amount of textual unstructured data that is extracted from twitter then visualize it as needed.