The perfect solution for detecting sarcasm in tweets #not

Christine Liebrecht, Florian Kunneman, Antal van den Bosch


Anthology ID:
W13-1605
Volume:
Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Month:
June
Year:
2013
Address:
Atlanta, Georgia
Venue:
WASSA
SIGs:
SIGNLL | SIGANN
Publisher:
Association for Computational Linguistics
Note:
Pages:
29–37
Language:
URL:
https://aclanthology.org/W13-1605
DOI:
Bibkey:
Cite (ACL):
Christine Liebrecht, Florian Kunneman, and Antal van den Bosch. 2013. The perfect solution for detecting sarcasm in tweets #not. In Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 29–37, Atlanta, Georgia. Association for Computational Linguistics.
Cite (Informal):
The perfect solution for detecting sarcasm in tweets #not (Liebrecht et al., WASSA 2013)
Copy Citation:
PDF:
https://aclanthology.org/W13-1605.pdf