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|Abstract:||We develop a model of issue-specific voting behavior. This model can be used to explore lawmakers’ personal voting patterns of voting by issue area, providing an exploratory window into how the language of the law is correlated with political support. We derive approximate posterior inference algorithms based on variational methods. Across 12 years of legislative data, we demonstrate both improvement in heldout prediction performance and the model’s utility in interpreting an inherently multidimensional space.|
|Citation:||Gerrish, S., & Blei, D. M. (2012). How they vote: Issue-adjusted models of legislative behavior. In Advances in Neural Information Processing Systems (pp. 2753-2761).|
|Pages:||2753 - 2761|
|Type of Material:||Conference Article|
|Journal/Proceeding Title:||Advances in Neural Information Processing Systems|
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