PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Using Neutral Examples for Learning Polarity
Moshe Koppel and Jonathan Schler
Proceedings of International Joint Conferences on Artificial Intelligence (IJCAI) 2005 2005.

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.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
Information Retrieval & Textual Information Access
ID Code:1502
Deposited By:Jonathan Schler
Deposited On:28 November 2005