  In this short paper, we evaluate the performance of three well-known Machine
Learning techniques for predicting the impact of a post in Facebook. Social
medias have a huge influence in the social behaviour. Therefore to develop an
automatic model for predicting the impact of posts in social medias can be
useful to the society. In this article, we analyze the efficiency for
predicting the post impact of three popular techniques: Support Vector
Regression (SVR), Echo State Network (ESN) and Adaptive Network Fuzzy Inject
System (ANFIS). The evaluation was done over a public and well-known benchmark
dataset.
