16. The system of claim 10 , wherein the one or more extracted features includes at least one textual feature.
10. A system comprising: one or modules implemented at least partially in hardware, the one or more modules configured to perform operations comprising: binning posts into different post classes of a prediction model 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 a 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; receiving a request to predict a reaction, by the social network community, to a proposed post prior to the proposed post being posted; extracting one or more features from the proposed post; comparing the one or more extracted features of the proposed post to features associated with the different post classes of the prediction model; selecting a post class of the different post classes that includes features that are most similar to the extracted features of the proposed post; and predicting the reaction by the social network community to the proposed post based on a number of responses received by posts in the selected post class.