Paper Title
Machine Learning Model for Predicting Social Media Influence on Sports

Abstract
Social media influence matters a lot nowadays, as it creates an impact that how people are responding with a particular player performance. Therefore, in this paper a machine learning model has been proposed which predicts the output of any sport i.e. wine or lose. This model will consider various kinds of appropriate dataset which will be analysed and will be combined with other datasets to get a better visualisation of the predictability with the help of different graphs heat map, stats model and pair plot. The two major data resources to analyse social impact for a particular play or team will be Wikipedia and twitter. The model will fetch data from both the resources and will combine it with actual player or team data. At the end of the model unsupervised machine learning and faceting Cluster Plotting in R will be performed on team sport player. Keywords - Machine Learning, Sports, Prediction, Wikipedia, Twitter.