Tea party in the house: A hierarchical ideal point topic model and its application to republican legislators in the 112th congress

ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference

Volumn 1, Issue , 2015, Pages 1438-1448

  Nguyen, Viet An ^a   Boyd Graber, Jordan ^a   Resnik, Philip ^a   Miler, Kristina ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

ITS APPLICATIONS; JOINT MODELING; POLICY ISSUES; RICH PICTURE; TOPIC MODELING;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84943770489     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p15-1139     Document Type: Conference Paper

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