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In this short paper, we evaluate the performance of three well-known MachineLearning techniques for predicting the impact of a post in Facebook. Socialmedias have a huge influence in the social behaviour. Therefore to develop anautomatic model for predicting the impact of posts in social medias can beuseful to the society. In this article, we analyze the efficiency forpredicting the post impact of three popular techniques: Support VectorRegression (SVR), Echo State Network (ESN) and Adaptive Network Fuzzy InjectSystem (ANFIS). The evaluation was done over a public and well-known benchmarkdataset.

Prediction of Facebook Post Metrics using Machine Learning