In this paper we aim to model the relationship between the text of a political blog post and the comment volume--that is, the total amount of response--that a post will receive. We seek to accurately identify which posts will attract a high-volume response, and also to gain insight about the community of readers and their interests. We design and evaluate variations on a latentvariable topic model that links text to comment volume.
Tae Yano, Noah A. Smith