@patent {81906,
	title = {System for Estimating a Distribution of Message Content Categories in Source Data},
	journal = {U.S. Patent and Trademark Office},
	volume = {8,180,717},
	number = {May 15},
	year = {2012},
	edition = {United States of America},
	chapter = {US},
	abstract = {
	A method of computerized content analysis that gives {\textquotedblleft}approximately unbiased and statistically consistent estimates{\textquotedblright} of a distribution of elements of structured, unstructured, and partially structured source data among a set of categories. In one embodiment, this is done by analyzing a distribution of small set of individually-classified elements in a plurality of categories and then using the information determined from the analysis to extrapolate a distribution in a larger population set. This extrapolation is performed without constraining the distribution of the unlabeled elements to be equal to the distribution of labeled elements, nor constraining a content distribution of content of elements in the labeled set (e.g., a distribution of words used by elements in the labeled set) to be equal to a content distribution of elements in the unlabeled set. Not being constrained in these ways allows the estimation techniques described herein to provide distinct advantages over conventional aggregation techniques.

},
	author = {Daniel Hopkins and Gary King and Ying Lu}
}
