Using Neutral Examples for Learning Polarity
Abstract
Sentiment analysis is an example of polarity learning. Most research on learning to identify sentiment ignores 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.
Cite
Text
Koppel and Schler. "Using Neutral Examples for Learning Polarity." International Joint Conference on Artificial Intelligence, 2005.Markdown
[Koppel and Schler. "Using Neutral Examples for Learning Polarity." International Joint Conference on Artificial Intelligence, 2005.](https://mlanthology.org/ijcai/2005/koppel2005ijcai-using/)BibTeX
@inproceedings{koppel2005ijcai-using,
title = {{Using Neutral Examples for Learning Polarity}},
author = {Koppel, Moshe and Schler, Jonathan},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2005},
pages = {1616-1617},
url = {https://mlanthology.org/ijcai/2005/koppel2005ijcai-using/}
}