Real time analysis of top trending event on Twitter: Lexicon based approach

Social media has become an integral part of everyone's daily routine in today's digital era. It has evolved in an immense way with its growing number of channels, never imagined of a generation ago. Nowadays, it has become rare to see anyone without their mobiles in their hand, browsing and logging in through their social media network such as Facebook, Twitter, WhatsApp and so on. Enormous amounts of real-time data being generated every second across the world mostly in unstructured text messages. It brings in a huge challenge and opportunity to analyze in order to discover answers to the various questions and solve many real time problems. This paper mainly focusses on two aspects. One is to identify the real-time top trending event on twitter for a particular location and next is to consider the first trending event for doing sentiment analysis. Sentiment analysis is performed using lexicon based approach classified and visualized in ten different emotion parameters.