Article

Using neutral examples for learning polarity

Authors:

Moshe Koppel,

Jonathan SchlerAuthors Info & Claims

IJCAI'05: Proceedings of the 19th international joint conference on Artificial intelligence

Pages 1616 - 1617

Published: 30 July 2005 Publication History

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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Cited By

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?Mieja MTabor JSpurek P(2019)SVM with a neutral classPattern Analysis & Applications10.1007/s10044-017-0654-322:2(573-582)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1007/s10044-017-0654-3
Tu ZHe YFoster Jvan Genabith JLiu QLin SLi HLin COsborne M(2012)Identifying high-impact sub-structures for convolution kernels in document-level sentiment classificationProceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 210.5555/2390665.2390742(338-343)Online publication date: 8-Jul-2012
https://dl.acm.org/doi/10.5555/2390665.2390742
Frunza OInkpen D(2010)Extraction of disease-treatment semantic relations from biomedical sentencesProceedings of the 2010 Workshop on Biomedical Natural Language Processing10.5555/1869961.1869973(91-98)Online publication date: 15-Jul-2010
https://dl.acm.org/doi/10.5555/1869961.1869973
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Using neutral examples for learning polarity
1. Hardware
  1. Power and energy
    1. Power estimation and optimization

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Published In

IJCAI'05: Proceedings of the 19th international joint conference on Artificial intelligence

July 2005

1775 pages

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Morgan Kaufmann Publishers Inc.

San Francisco, CA, United States

Publication History

Published: 30 July 2005

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?Mieja MTabor JSpurek P(2019)SVM with a neutral classPattern Analysis & Applications10.1007/s10044-017-0654-322:2(573-582)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1007/s10044-017-0654-3
Tu ZHe YFoster Jvan Genabith JLiu QLin SLi HLin COsborne M(2012)Identifying high-impact sub-structures for convolution kernels in document-level sentiment classificationProceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 210.5555/2390665.2390742(338-343)Online publication date: 8-Jul-2012
https://dl.acm.org/doi/10.5555/2390665.2390742
Frunza OInkpen D(2010)Extraction of disease-treatment semantic relations from biomedical sentencesProceedings of the 2010 Workshop on Biomedical Natural Language Processing10.5555/1869961.1869973(91-98)Online publication date: 15-Jul-2010
https://dl.acm.org/doi/10.5555/1869961.1869973
Tang HTan SCheng X(2009)A survey on sentiment detection of reviewsExpert Systems with Applications: An International Journal10.1016/j.eswa.2009.02.06336:7(10760-10773)Online publication date: 1-Sep-2009
https://dl.acm.org/doi/10.1016/j.eswa.2009.02.063
Ng VDasgupta SArifin S(2006)Examining the role of linguistic knowledge sources in the automatic identification and classification of reviewsProceedings of the COLING/ACL on Main conference poster sessions10.5555/1273073.1273152(611-618)Online publication date: 17-Jul-2006
https://dl.acm.org/doi/10.5555/1273073.1273152

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Learning with Positive and Unlabeled Examples Using Topic-Sensitive PLSA

Sentiment Analysis Using Word Polarity of Social Media

Learning Domain-Specific Polarity Lexicons

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