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://preview.aclanthology.org/remove-affiliations/P15-1139/
- DOI:
- 10.3115/v1/P15-1139
- 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)
- PDF:
- https://preview.aclanthology.org/remove-affiliations/P15-1139.pdf