Smart Virological Modelling of YouTube Videos

It takes few hours for a new topic to be uploaded in social media and it spread like a forest fire. So it is important to study the flow of the content in social media. YouTube is one of the most growing social media platforms so the aim lies in the fact that which content uploaded in YouTube is likely to be viewed and which is likely to flow. So it would be really a task of interest that if we are able to figure out the common underlying dimensions from a whole bunch of dimensions on which the viewing factors depend we could know how to change values in order to get better view count. The social media platforms lack or somewhere deviate to provide quality features and accessibility like them. This paper brings in the concept of a complete integrated system that works on YouTube and lets the user to get a complete assistance on his/her content.