Paper: Predicting Response to Political Blog Posts with Topic Models

ACL ID N09-1054
Title Predicting Response to Political Blog Posts with Topic Models
Venue Human Language Technologies
Session Main Conference
Year 2009
Authors

In this paper we model discussions in online political blogs. To do this, we extend Latent Dirichlet Allocation (Blei et al., 2003), in var- ious ways to capture different characteristics of the data. Our models jointly describe the generation of the primary documents (posts) as well as the authorship and, optionally, the contents of the blog community’s verbal reac- tions to each post (comments). We evaluate our model on a novel comment prediction task where the models are used to predict which blog users will leave comments on a given post. We also provide a qualitative discussion about what the models discover.