Applications of latent variable models in modeling influence and decision making
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Summary
This work presents several methods for identifying influential documents in a collection which evolves over time, and introduces a model for measuring the relationships between pairs of countries over time which is able to learn meaningful relationships between countries which is extraordinarily consistent across different human labels.
- Type
- article
- Published
- 2013-01-01
- Cited by
- 7
- References
- 94
- OpenAlex
- https://openalex.org/W56307640
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:59750368
Keywords
Voting, Computer science, Data science, Government (linguistics), Citation
References
- Patterns of congressional voting
- Bayesian Online Changepoint Detection
- Latent Force Models
- Pattern Recognition and Machine Learning
- An Introduction to Variational Methods for Graphical Models
- An Automated Method of Topic-Coding Legislative Speech Over Time with Application to the 105th-108th U.S. Senate
- The Congress and America's future
- Probabilistic Latent Semantic Analysis
- Building a Large Annotated Corpus of English: The Penn Treebank
- The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics
- Linear Probability Models of the Demand for Attributes with an Empirical Application to Estimating the Preferences of Legislators
- Molecular cloning of a cDNA encoding human antihaemophilic factor
- Orthogonal Array-Based Latin Hypercubes
- Get out the vote: Determining support or opposition from Congressional floor-debate transcripts
- Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora
- The Mathematics of Statistics
- Multinomial Inverse Regression for Text Analysis
- A Spatial Model for Legislative Roll Call Analysis
- Of Nobel class: A citation perspective on high impact research authors
- Legislative Leviathan: Party Government in the House
Cited by
- Structured Stochastic Variational Inference
- Factorial, Convergent, and Discriminant Validity of TIMSS Math and Science Motivation Measures: A Comparison of Arab and Anglo-Saxon Countries
- Learning to Extract International Relations from Political Context
- Statistical Text Analysis for Social Science
- Identifying civilians killed by police with distantly supervised entity-event extraction
- The Power of Context in Networks: Ideal Point Models with Social Interactions
- An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process
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