This Text Has the Scent of Starbucks: A Laplacian Structured Sparsity Model for Computational Branding Analytics

William Yang Wang, Edward Lin, John Kominek


Anthology ID:
D13-1131
Volume:
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
Month:
October
Year:
2013
Address:
Seattle, Washington, USA
Editors:
David Yarowsky, Timothy Baldwin, Anna Korhonen, Karen Livescu, Steven Bethard
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
1325–1336
Language:
URL:
https://aclanthology.org/D13-1131
DOI:
Bibkey:
Cite (ACL):
William Yang Wang, Edward Lin, and John Kominek. 2013. This Text Has the Scent of Starbucks: A Laplacian Structured Sparsity Model for Computational Branding Analytics. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 1325–1336, Seattle, Washington, USA. Association for Computational Linguistics.
Cite (Informal):
This Text Has the Scent of Starbucks: A Laplacian Structured Sparsity Model for Computational Branding Analytics (Wang et al., EMNLP 2013)
Copy Citation:
PDF:
https://aclanthology.org/D13-1131.pdf
Attachment:
 D13-1131.Attachment.zip