@article {19689,
	title = {Interactive topic modeling},
	year = {2011},
	month = {2011/00/19},
	pages = {248 - 257},
	publisher = {Association for Computational Linguistics},
	abstract = {Abstract Topic models have been used extensively as a tool for corpus exploration, and a cottage industry has developed to tweak topic models to better encode human intuitions or to better model data. However, creating such extensions requires expertise in machine ...},
	url = {http://dl.acm.org/citation.cfm?id=2002472.2002505},
	author = {Hu, Yuening and Jordan Boyd-Graber and Satinoff, Brianna}
}
