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Previous methods of analyzing the substance of political attention have had to make several restrictive assumptions or been prohibitively costly when applied to large-scale political texts. Here, we describe a topic model for legislative speech, a statistical learning model that uses word choices to infer topical categories covered in a set of speeches and(More)
Statistical models of text have become increasingly popular in statistics and computer science as a method of exploring large document collections. Social scientists often want to move beyond exploration, to measurement and experimentation, and make inference about social and political processes that drive discourse and content. In this paper, we develop a(More)
  • Charline Maertens de Noordhout, Brecht Devleesschauwer, Diallo Lamarana, Juanita Haagsma, Arie Havelaar, Sophie Quoilin +5 others
  • 2015
Salmonellosis and campylobacteriosis are major food-borne diseases caused by consumption of contaminated raw pork or poultry. Symptomatic disease is mainly characterized by gastroenteritis, although immunoreac-tive complications also occur, especially among the immunocompromised. Although these diseases cause the highest number of confirmed foodborne(More)
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