Using Neutral Examples for Learning Polarity
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1616-1616.
Abstract
Sentiment analysis is an example of polarity learning. Most research on learning to identify sentiment ignores “neutral” examples and instead performs training and testing using only examples of significant polarity. We show that it is crucial to use neutral examples in learning polarity for a variety of reasons and show how neutral examples help us obtain superior classification results in two sentiment analysis test-beds.
Moshe Koppel, and Jonathan Schler. 2005. Using Neutral Examples for Learning Polarity. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 1616–1616. https://ijcai.org/proceedings/2005/299
Koppel, M., & Schler, J. (2005). Using Neutral Examples for Learning Polarity. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 (pp. 1616–1616). IJCAI. https://ijcai.org/proceedings/2005/299
@inproceedings{ijcai2005p299,
title = {Using Neutral Examples for Learning Polarity},
author = {Koppel, Moshe and Schler, Jonathan},
booktitle = {Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence, {IJCAI-05}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {1616--1616},
year = {2005},
url = {https://ijcai.org/proceedings/2005/299},
}
TY - CPAPER TI - Using Neutral Examples for Learning Polarity AU - Koppel, Moshe AU - Schler, Jonathan T2 - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 PB - International Joint Conferences on Artificial Intelligence PY - 2005 SP - 1616 EP - 1616 UR - https://ijcai.org/proceedings/2005/299 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
