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

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