Natural Language Engineering · 1999 · 174 citations · 20 references
Language StudiesComputer ScienceLinguisticsCorpus LinguisticsNatural Language ProcessingSemanticsAnnotationClassificationCorpus AnnotationSemantic AnnotationTaxonomyText MiningAutomatic Text ClassificationDocument ClassificationOpinion AnnotationSentence-level AnnotationSubjective Text ClassificationSubjectivity DetectionText CategorizationText Classification
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).
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