Using neutral examples for learning polarity

Authors:
Moshe Koppel;Jonathan Schler
Affiliations:
Bar-Ilan University, Computer Science Department, Ramat-Gan, Israel;Bar-Ilan University, Computer Science Department, Ramat-Gan, Israel
Venue:
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Year:
2005

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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.