Employing personal/impersonal views in supervised and semi-supervised sentiment classification

Shoushan Li; Chu-ren Huang; Guodong Zhou; Yat Mei Lee

Employing personal/impersonal views in supervised and semi-supervised sentiment classification

Shoushan Li, Chu-ren Huang, Guodong Zhou, Yat Mei Lee

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

78 Citations (Scopus)

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
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
Country	Sweden
City	Uppsala
Period	11/07/10 → 16/07/10

ASJC Scopus subject areas

Language and Linguistics
Linguistics and Language

Cite this

@inproceedings{8377ee759bcc4bf69719a2517fdb2c3f,

title = "Employing personal/impersonal views in supervised and semi-supervised sentiment classification",

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.",

author = "Shoushan Li and Chu-ren Huang and Guodong Zhou and Lee, {Yat Mei}",

year = "2010",

month = dec,

day = "1",

language = "English",

isbn = "9781617388088",

pages = "414--423",

booktitle = "ACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference",

note = "48th Annual Meeting of the Association for Computational Linguistics, ACL 2010 ; Conference date: 11-07-2010 Through 16-07-2010",

}

Li, S, Huang, C, Zhou, G & Lee, YM 2010, Employing personal/impersonal views in supervised and semi-supervised sentiment classification. in ACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. pp. 414-423, 48th Annual Meeting of the Association for Computational Linguistics, ACL 2010, Uppsala, Sweden, 11/07/10.

Employing personal/impersonal views in supervised and semi-supervised sentiment classification. / Li, Shoushan; Huang, Chu-ren; Zhou, Guodong; Lee, Yat Mei.

ACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. 2010. p. 414-423.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Employing personal/impersonal views in supervised and semi-supervised sentiment classification

AU - Li, Shoushan

AU - Huang, Chu-ren

AU - Zhou, Guodong

AU - Lee, Yat Mei

PY - 2010/12/1

Y1 - 2010/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=79958248245&partnerID=8YFLogxK

M3 - Conference article published in proceeding or book

SN - 9781617388088

SP - 414

EP - 423

BT - ACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference

T2 - 48th Annual Meeting of the Association for Computational Linguistics, ACL 2010

Y2 - 11 July 2010 through 16 July 2010

ER -