Abstract
We describe the methodology and the process of annotations of a corpus of reviews along with experiments on inter-annotator agreement. Our approach goes beyond “flat” sets of attributes and relies on more complex graph-alike ontologies to annotate the data. We propose and test an algorithm of automated induction of an ontology and compare the results with “manually” created ontologies and annotations. We conclude with a discussion of differences between the two approaches and annotator influence.
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Wawer, A., Sakwerda, K. (2012). How Opinion Annotations and Ontologies Become Objective?. In: Bouvry, P., Kłopotek, M.A., Leprévost, F., Marciniak, M., Mykowiecka, A., Rybiński, H. (eds) Security and Intelligent Information Systems. SIIS 2011. Lecture Notes in Computer Science, vol 7053. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25261-7_31
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DOI: https://doi.org/10.1007/978-3-642-25261-7_31
Publisher Name: Springer, Berlin, Heidelberg
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