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international conference on computational linguistics | 2008

Tracking the Dynamic Evolution of Participants Salience in a Discussion

Ahmed Hassan; Anthony Fader; Michael H. Crespin; Kevin M. Quinn; Burt L. Monroe; Michael Colaresi; Dragomir R. Radev

We introduce a technique for analyzing the temporal evolution of the salience of participants in a discussion. Our method can dynamically track how the relative importance of speakers evolve over time using graph based techniques. Speaker salience is computed based on the eigenvector centrality in a graph representation of participants in a discussion. Two participants in a discussion are linked with an edge if they use similar rhetoric. The method is dynamic in the sense that the graph evolves over time to capture the evolution inherent to the participants salience. We used our method to track the salience of members of the US Senate using data from the US Congressional Record. Our analysis investigated how the salience of speakers changes over time. Our results show that the scores can capture speaker centrality in topics as well as events that result in change of salience or influence among different participants.


PS Political Science & Politics | 1994

Understanding Electoral Systems: Beyond Plurality versus PR

Burt L. Monroe

Although we often plead with our colleagues and students to be more “systematic,” we may not always be clear about what we mean. In biology, systematics is the “scientific study of the kinds and diversity of organisms and of any and all relationships among them” (Simpson 1961), the most important aspect of which is taxonomy , “the theory and practice of classifying organisms into groups on the basis of their relationships” (Mayr 1969). In political science, our organisms are political institutions. This article is a call for research in political systematics with suggestions for how the taxonomy of electoral systems might be developed. Institutional taxonomy can play many roles in comparative politics. It can provide an appreciation of the existing and theoretical diversity of political institutions, provide the information necessary to construct a theory of institutional development, systematize the variables that affect and constrain political interactions, and provide the starting point for informed discussions of institutional reform. Current attempts to develop large standardized data sets in comparative politics (Rosenstone 1994), for instance, require institutional taxonomy if the effort is to be effective. Of course, this discussion would be moot if institutional taxonomy were already well established (with or without the term).


American Journal of Political Science | 2010

How to Analyze Political Attention with Minimal Assumptions and Costs

Kevin M. Quinn; Burt L. Monroe; Michael Colaresi; Michael H. Crespin; Dragomir R. Radev


Political Analysis | 2008

Fightin' Words: Lexical Feature Selection and Evaluation for Identifying the Content of Political Conflict

Burt L. Monroe; Michael Colaresi; Kevin M. Quinn


American Journal of Political Science | 2002

Electoral Systems and Unimagined Consequences: Partisan Effects of Districted Proportional Representation

Burt L. Monroe; Amanda G. Rose


Archive | 2006

An Automated Method of Topic-Coding Legislative Speech Over Time with Application to the 105th=108th U.S. Senate

Kevin M. Quinn; Burt L. Monroe; Michael Colaresi; Michael H. Crespin; Dragomir R. Radev


Political Analysis | 2008

Introduction to the Special Issue: The Statistical Analysis of Political Text

Burt L. Monroe; Philip A. Schrodt


PS Political Science & Politics | 2015

No! Formal Theory, Causal Inference, and Big Data Are Not Contradictory Trends in Political Science

Burt L. Monroe; Jennifer Pan; Margaret E. Roberts; Maya Sen; Betsy Sinclair


empirical methods in natural language processing | 2007

MavenRank: Identifying Influential Members of the US Senate Using Lexical Centrality

Anthony Fader; Dragomir R. Radev; Michael H. Crespin; Burt L. Monroe; Kevin M. Quinn; Michael Colaresi


Archive | 2006

United States Congressional Speech Corpus

Burt L. Monroe; Cheryl L. Monroe; Kevin M. Quinn; Dragomir R. Radev; Michael H. Crespin; Michael Colaresi; Jacob Balazar; Steven P. Abney

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Kevin M. Quinn

University of California

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Michael Colaresi

University of Colorado Boulder

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Eitan Tzelgov

University of Gothenburg

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Jessica Maves

Pennsylvania State University

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