Journal
LANGUAGE RESOURCES AND EVALUATION
Volume 39, Issue 2-3, Pages 165-210Publisher
SPRINGER
DOI: 10.1007/s10579-005-7880-9
Keywords
affect; attitudes; corpus annotation; emotion; natural language processing; opinions; sentiment; subjectivity
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This paper describes a corpus annotation project to study issues in the manual annotation of opinions, emotions, sentiments, speculations, evaluations and other private states in language. The resulting corpus annotation scheme is described, as well as examples of its use. In addition, the manual annotation process and the results of an inter-annotator agreement study on a 10,000-sentence corpus of articles drawn from the world press are presented.
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