ScholarGate
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Process / pipelineContent analysis / computational text

Event Data Analysis

Event data analysis converts streams of news reports into structured records of political interactions — who did what to whom, when — and aggregates them into time series of cooperation and conflict between actors. Each event is coded as a source actor, an action type drawn from an ontology such as CAMEO, a target actor, and a date. Modern systems extract these events automatically from millions of news stories, enabling near-real-time measurement of interstate and intrastate behavior for forecasting and analysis.

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Fuentes

  1. Schrodt, P. A. (2012). Precedents, Progress, and Prospects in Political Event Data. International Interactions, 38(4), 546–569. DOI: 10.1080/03050629.2012.697430
  2. King, G., & Lowe, W. (2003). An Automated Information Extraction Tool for International Conflict Data with Performance as Good as Human Coders: A Rare Events Evaluation Design. International Organization, 57(3), 617–642. DOI: 10.1017/S0020818303573064
  3. Boschee, E., Lautenschlager, J., O'Brien, S., Shellman, S., Starz, J., & Ward, M. (2015). ICEWS Coded Event Data. Harvard Dataverse. DOI: 10.7910/DVN/28075

Cómo citar esta página

ScholarGate. (2026, June 22). Political Event Data Analysis (Automated Event Coding). ScholarGate. https://scholargate.app/es/political-science/event-data-analysis

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ScholarGateEvent Data Analysis (Political Event Data Analysis (Automated Event Coding)). Recuperado el 2026-06-24 de https://scholargate.app/es/political-science/event-data-analysis · Conjunto de datos: https://doi.org/10.5281/zenodo.20539026