Political Issue Extraction Model: A Novel Hierarchical Topic Model That Uses Tweets By Political And Non-Political Authors

Aditya Joshi, Pushpak Bhattacharyya, Mark Carman


Anthology ID:
W16-0415
Volume:
Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Month:
June
Year:
2016
Address:
San Diego, California
Editors:
Alexandra Balahur, Erik van der Goot, Piek Vossen, Andres Montoyo
Venue:
WASSA
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
82–90
Language:
URL:
https://aclanthology.org/W16-0415
DOI:
10.18653/v1/W16-0415
Bibkey:
Cite (ACL):
Aditya Joshi, Pushpak Bhattacharyya, and Mark Carman. 2016. Political Issue Extraction Model: A Novel Hierarchical Topic Model That Uses Tweets By Political And Non-Political Authors. In Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 82–90, San Diego, California. Association for Computational Linguistics.
Cite (Informal):
Political Issue Extraction Model: A Novel Hierarchical Topic Model That Uses Tweets By Political And Non-Political Authors (Joshi et al., WASSA 2016)
Copy Citation:
PDF:
https://preview.aclanthology.org/emnlp22-frontmatter/W16-0415.pdf