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.
| Original language | English |
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| Title of host publication | ACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference |
| Pages | 414-423 |
| Number of pages | 10 |
| Publication status | Published - 1 Dec 2010 |
| Event | 48th Annual Meeting of the Association for Computational Linguistics, ACL 2010 - Uppsala, Sweden Duration: 11 Jul 2010 → 16 Jul 2010 |
Conference
| Conference | 48th Annual Meeting of the Association for Computational Linguistics, ACL 2010 |
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| Country/Territory | Sweden |
| City | Uppsala |
| Period | 11/07/10 → 16/07/10 |
ASJC Scopus subject areas
- Language and Linguistics
- Linguistics and Language