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Minhas: Mining texts to efficiently generate global... - Google Scholar
Jay Ulfelder (@dtchimp) | Twitter
Ulfelder: Promising Initial Results from a New Mass-Atroc... - Google Scholar
Author Page for Jay Ulfelder :: SSRN
Author Page for Will H. Moore :: SSRN
Author Page for Michael Coppedge :: SSRN
Author Page for John Gerring :: SSRN
Home | Research & Politics
Author Page for Staffan I. Lindberg :: SSRN
Separating the Wheat from the Chaff: Applications of Automated Document Classification Using Support Vector Machines
Mining texts to efficiently generate global data on political regime types | Research & Politics
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Dealing with Tyranny: International Sanctions and the Survival of Authoritarian Rulers | International Studies Quarterly
Author Page for Daniel W. Hill :: SSRN
Modeling Terror Attacks: A Cross-National, Out-of-Sample Study by Ryan Bakker, Daniel W. Hill, Will H. Moore :: SSRN
A Multimodel Ensemble for Forecasting Onsets of State-Sponsored Mass Killing by Jay Ulfelder :: SSRN
Aggregating Varieties of Democracy Data by Michael Coppedge, John Gerring, Staffan I. Lindberg, Jan Teorell :: SSRN
Mining texts to efficiently generate global data on political regime types | Research & Politics
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machine learning | Dart-Throwing Chimp
Mining texts to efficiently generate global data on political regime types - Harvard Dataverse
Harvard Dataverse
Minhas: Mining texts to efficiently generate global... - Google Scholar
Mining texts to efficiently generate global data on political regime types - Google Search
The MID4 dataset, 2002-2010: Procedures, coding rules and descriptio - Google Search
Mining texts to efficiently generate global data on political regime types : MachineLearning
Mining texts to efficiently generate global data on political regime types
New grant funds open-access publishing in political science - The Washington Post
Americans are fine with drone strikes. Everyone else in the world? Not so much. - The Washington Post
Saved Session - Session Buddy
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