17. A method comprising: collecting posts to a social network and responses to each post; automatically binning the posts into different post classes based on a number of the responses to each post, the binning comprising normalizing the number of the responses to each post by dividing the number of the responses to each post by a total number of subscribers of the social network community, generating a histogram of the normalized number of responses to each post, applying Otsu thresholding techniques to the histogram to identify one or more boundaries between distributions of the posts in the histogram, and binning at least one of the distributions of the posts into a popular post class that includes posts that received a high number of responses; extracting features from the posts; generating a prediction model by applying a learning model to the different post classes and the extracted features; receiving a request to predict a reaction to a proposed post prior to the proposed post being posted to the social network; and predict the reaction to the proposed post using the learning model.
17. A method comprising: collecting posts to a social network and responses to each post; automatically binning the posts into different post classes based on a number of the responses to each post, the binning comprising normalizing the number of the responses to each post by dividing the number of the responses to each post by a total number of subscribers of the social network community, generating a histogram of the normalized number of responses to each post, applying Otsu thresholding techniques to the histogram to identify one or more boundaries between distributions of the posts in the histogram, and binning at least one of the distributions of the posts into a popular post class that includes posts that received a high number of responses; extracting features from the posts; generating a prediction model by applying a learning model to the different post classes and the extracted features; receiving a request to predict a reaction to a proposed post prior to the proposed post being posted to the social network; and predict the reaction to the proposed post using the learning model. 20. The method of claim 17 , wherein the posts comprise short-text posts.