Testing and Comparing Computational Approaches for Identifying the Language of Framing in Political News

Eric Baumer, Elisha Elovic, Ying Qin, Francesca Polletta, Geri Gay


Anthology ID:
N15-1171
Volume:
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Month:
May–June
Year:
2015
Address:
Denver, Colorado
Editors:
Rada Mihalcea, Joyce Chai, Anoop Sarkar
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1472–1482
Language:
URL:
https://aclanthology.org/N15-1171
DOI:
10.3115/v1/N15-1171
Bibkey:
Cite (ACL):
Eric Baumer, Elisha Elovic, Ying Qin, Francesca Polletta, and Geri Gay. 2015. Testing and Comparing Computational Approaches for Identifying the Language of Framing in Political News. In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 1472–1482, Denver, Colorado. Association for Computational Linguistics.
Cite (Informal):
Testing and Comparing Computational Approaches for Identifying the Language of Framing in Political News (Baumer et al., NAACL 2015)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-2/N15-1171.pdf