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Recognizing subjectivity: a case study in manual tagging

Published online by Cambridge University Press:  01 June 1999

REBECCA F. BRUCE  and
JANYCE M. WIEBE
REBECCA F. BRUCE
Affiliation:
Department of Computer Science, University of North Carolina at Asheville, Asheville, NC 28804-8511, USA; e-mail: bruce@cs.unca.edu
JANYCE M. WIEBE
Affiliation:
Department of Computer Science, New Mexico State University, Las Cruces, NM 88003, USA; e-mail: wiebe@cs.nmsu.edu
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Abstract

In this paper, we describe a case study of a sentence-level categorization in which tagging instructions are developed and used by four judges to classify clauses from the Wall Street Journal as either subjective or objective. Agreement among the four judges is analyzed, and based on that analysis, each clause is given a final classification. To provide empirical support for the classifications, correlations are assessed in the data between the subjective category and a basic semantic class posited by Quirk, Greenbaum, Leech and Svartvik (1985).

Type
Research Article
Information
Natural Language Engineering , Volume 5 , Issue 2 , June 1999 , pp. 187 - 205
Copyright
1999 Cambridge University Press

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