---
title: "Using Neutral Examples for Learning Polarity"
authors:
  - "Moshe Koppel"
  - "Jonathan Schler"
doi: ""
url: "https://ijcai.org/proceedings/2005/299"
pdf: "https://ijcai.org/proceedings/2005/0299.pdf"
venue: "Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence"
year: 2005
pages: "1616-1616"
track: ""
keywords:
---

# Using Neutral Examples for Learning Polarity

Moshe Koppel, Jonathan Schler

*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.