Event-Based Multi-Model Classification to Assess the User Participation Levels on Twitter

Social network and microblogging have become prominent mediums of communication for personal and commercial prospects. Twitter outstands the race, becoming the most popular platform for sharing information. It has helped facilitate long-distance communications between people. A media person can converse with a random person from a distant location and vice versa via Twitter. During events like elections, Oscar awards, earthquakes, terrorist attacks, and other disasters and entertainment occasions, the crowd gathers to share opinions, debate, review, support, and participate in the virtual world. This paper has classified crowd participation in a couple of events and types of users' participation levels in multiple dimensions in the context of those events.