Yano et al NAACL 2009

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This Paper is available online [1].

Summary

This paper describes a topic model based approach in modeling the generation of blog text (posts and comments).

Brief description of the method

This paper expands upon LinkLDA, presented in Erosheva et al. (2004).

Link LDA.png

Although LinkLDA can model which users are likely to respond to a post, it does not model the comment text they will write. The authors expand on this by proposing CommentLDA.

Comment LDA.png

Experimental Result

Task: given a training dataset consisting of a collection of blog posts and their commenters and comments, and a unseen test dataset from a later time period, predict who is going to comment on a new blog post from the test set.

Dataset is available at

The compared models were:


Discussion

Related Papers

Study Plan