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Title:
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SEMANTICALLY DISTINCT VERB CLASSES INVOLVED IN SENTIMENT ANALYSIS |
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Author(s):
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Alena Neviarouskaya , Helmut Prendinger , Mitsuru Ishizuka |
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ISBN:
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978-972-8924-97-3 |
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Editors:
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Hans Weghorn and Pedro Isaías |
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Year:
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2009 |
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Edition:
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V I, 2 |
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Keywords:
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Opinion mining, sentiment analysis. |
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Type:
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Full Paper |
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First Page:
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27 |
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Last Page:
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34 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The paper describes a novel rule-based approach to classification of opinion statements on the level of individual
sentences. In contrast to existing approaches, the proposed method relies on the rules elaborated for semantically distinct
verb classes. To deeply analyse the type, strength, and confidence level of expressed opinion, the system relies on the
compositionality principle and lexicon of sentiment-conveying terms, functional words, modifiers, and modal
expressions. The method is capable of processing sentences of different complexity, including simple, compound,
complex (with complement and relative clauses), and complex-compound sentences. |
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