Using neutral examples for learning polarity

Moshe Koppel, Jonathan Schler

Research output: Contribution to journalConference articlepeer-review

11 Scopus citations


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.

Original languageEnglish
Pages (from-to)1616-1617
Number of pages2
JournalIJCAI International Joint Conference on Artificial Intelligence
StatePublished - 2005
Event19th International Joint Conference on Artificial Intelligence, IJCAI 2005 - Edinburgh, United Kingdom
Duration: 30 Jul 20055 Aug 2005


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