A machine learning methods for forecast prediction on social media users

Abstract

The paper deals with “A machine learning methods for forecast prediction on social media users.” The networking data is a very important aspect in the present and future networking data plays a very valuable role in decision making for social media user, organization, education sector, and service. With the online existence and social media users utilize various social media platforms like Instagram/Facebook or others app to express or comments their observations and opinions. The article network is a unweighted and directed network. Article-author network is an unweighted, undirected, and two-mode network. Author network is an weighted and undirected network. Machine learning works by progressively improving the performance of a given task. Previously, machine learning provides us with powerful web search techniques, speech recognition, home automation, automated surveillance system, self-driving cars, and much-improved perception about the genome.