Systems and Methods for Calculating Category Proportions
Aykut Firat, Mitchell Brooks, Christopher Bingham, Amac Herdagdelen, Gary King. 2016.
"Systems and Methods for Calculating Category Proportions".
United States of America 9,483,544.

Abstract
Systems and methods are provided for classifying text based on language using one or more computer servers and storage devices. A computer-implemented method includes receiving a training set of elements, each element in the training set being assigned to one of a plurality of categories and having one of a plurality of content profiles associated therewith; receiving a population set of elements, each element in the population set having one of the plurality of content profiles associated therewith; and calculating using at least one of a stacked regression algorithm, a bias formula algorithm, a noise elimination algorithm, and an ensemble method consisting of a plurality of algorithmic methods the results of which are averaged, based on the content profiles associated with and the categories assigned to elements in the training set and the content profiles associated with the elements of the population set, a distribution of elements of the population set over the categories.
See Also
- [Patent] Systems and Methods for Keyword Determination and Document Classification from Unstructured Text (2019)
- [Paper] Some Statistical Methods for Evaluating Information Extraction Systems (2003)
- [Presentation] Matching Methods for Observational and Experimental Causal Inference (Facultad Latinoamericana de Ciencias Sociales) (2023)
- [Paper] The Essential Role of Statistical Inference in Evaluating Electoral Systems: A Response to DeFord et Al. (2023)
- [Presentation] Simplifying Matching Methods for Causal Inference (University of Wisconsin at Madison) (2022)
- [Presentation] Simplifying Matching Methods for Causal Inference (Hebrew University of Jerusalem) (2020)
- [Paper] A Theory of Statistical Inference for Matching Methods in Causal Research (2019)
- [Presentation] Simplifying Matching Methods for Causal Inference (2019)