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Tea Party in the House: A Hierarchical Ideal Point Topic Model and Its Application to Republican Legislators in the 112th Congress

Viet-An Nguyen, Jordan Boyd-Graber, Philip Resnik, Kristina Miler


Anthology ID:
P15-1139
Volume:
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Month:
July
Year:
2015
Address:
Beijing, China
Editors:
Chengqing Zong, Michael Strube
Venues:
ACL | IJCNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1438–1448
Language:
URL:
https://aclanthology.org/P15-1139
DOI:
10.3115/v1/P15-1139
Bibkey:
Cite (ACL):
Viet-An Nguyen, Jordan Boyd-Graber, Philip Resnik, and Kristina Miler. 2015. Tea Party in the House: A Hierarchical Ideal Point Topic Model and Its Application to Republican Legislators in the 112th Congress. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 1438–1448, Beijing, China. Association for Computational Linguistics.
Cite (Informal):
Tea Party in the House: A Hierarchical Ideal Point Topic Model and Its Application to Republican Legislators in the 112th Congress (Nguyen et al., ACL-IJCNLP 2015)
Copy Citation:
PDF:
https://aclanthology.org/P15-1139.pdf