Feature Selection for Highly Skewed Sentiment Analysis Tasks

Can Liu, Sandra Kübler, Ning Yu


Anthology ID:
W14-5902
Volume:
Proceedings of the Second Workshop on Natural Language Processing for Social Media (SocialNLP)
Month:
August
Year:
2014
Address:
Dublin, Ireland
Venues:
SocialNLP | WS
SIG:
Publisher:
Association for Computational Linguistics and Dublin City University
Note:
Pages:
2–11
Language:
URL:
https://aclanthology.org/W14-5902
DOI:
10.3115/v1/W14-5902
Bibkey:
Cite (ACL):
Can Liu, Sandra Kübler, and Ning Yu. 2014. Feature Selection for Highly Skewed Sentiment Analysis Tasks. In Proceedings of the Second Workshop on Natural Language Processing for Social Media (SocialNLP), pages 2–11, Dublin, Ireland. Association for Computational Linguistics and Dublin City University.
Cite (Informal):
Feature Selection for Highly Skewed Sentiment Analysis Tasks (Liu et al., 2014)
Copy Citation:
PDF:
https://aclanthology.org/W14-5902.pdf