@article {19687,
	title = {Lexical and Hierarchical Topic Regression},
	year = {2013},
	month = {2013/00/01},
	pages = {1106 - 1114},
	abstract = {Abstract Inspired by a two-level theory that unifies agenda setting and ideological framing, we propose supervised hierarchical latent Dirichlet allocation (SHLDA) which jointly captures documents{\textquoteright} multi-level topic structure and their polar response variables. Our ...},
	url = {http://papers.nips.cc/paper/5163-lexical-and-hierarchical-topic-regression},
	author = {Nguyen, Viet-An and Jordan Boyd-Graber and Resnik, Philip}
}
