@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} }