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Training and domain adaptation for supervised text segmentation
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OpinionFinder: a system for subjectivity analysis
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Wilson, Theresa; Hoffmann, Paul; Somasundaran, Swapna; Kessler, Jason; Wiebe, Janyce; Choi, Yejin; Cardie, Claire; Patwardhan, Siddharth; Riloff, Ellen M.. - : Association for Computational Linguistics, 2005
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Abstract:
Journal Article ; OpinionFinder is a system that performs subjectivity analysis, automatically identifying when opinions, sentiments, speculations and other private states are present in text. Specifically, OpinionFinder aims to identify subjective sentences and to mark various aspects of the subjectivity in these sentences, including the source (holder) of the subjectivity and words that are included in phrases expressing positive or negative sentiments
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Keyword:
Information retrieval; Natural language processing (Computer science); OpinionFinder; Subjectivity; Subjectivity analysis
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URL: https://collections.lib.utah.edu/ark:/87278/s63x8qvp
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