Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/33499
Title: Employing personal/impersonal views in supervised and semi-supervised sentiment classification
Authors: Li, S
Huang, CR 
Zhou, G
Lee, SYM 
Issue Date: 2010
Source: ACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, 2010, p. 414-423 How to cite?
Abstract: In this paper, we adopt two views, personal and impersonal views, and systematically employ them in both supervised and semi-supervised sentiment classification. Here, personal views consist of those sentences which directly express speaker's feeling and preference towards a target object while impersonal views focus on statements towards a target object for evaluation. To obtain them, an unsupervised mining approach is proposed. On this basis, an ensemble method and a co-training algorithm are explored to employ the two views in supervised and semi-supervised sentiment classification respectively. Experimental results across eight domains demonstrate the effectiveness of our proposed approach.
Description: 48th Annual Meeting of the Association for Computational Linguistics, ACL 2010, Uppsala, 11-16 July 2010
URI: http://hdl.handle.net/10397/33499
ISBN: 9781617388088
Appears in Collections:Conference Paper

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