Sentiments analysis at conceptual level making use of the Narrative Knowledge Representation Language |
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| Affiliation: | 1. Geological Survey of Finland, P.O. Box 96, FI-02151 Espoo, Finland;2. Faculty of Biological and Environmental Sciences, Ecosystems and Environment Research Programme, University of Helsinki, Niemenkatu 73, FI-15140 Lahti, Finland;1. University Politehnica of Bucharest, 313 Splaiul Independentei, 060042 Bucharest, Romania;2. Autonomous Systems, 22 Tudor Vladimirescu, 050883 Bucharest, Romania;1. Catalan Institute for Research and Advanced Studies (ICREA);2. Pompeu Fabra University, C/Roc Boronat, 138, 08018 Barcelona, Spain;3. University of Augsburg, Universitätsstr. 6, 86159 Augsburg, Germany;4. Vocapia Research 28, rue Jean Rostand Parc Orsay Université 91400 Orsay, France;6. University of Ulm, Albert Einstein Allee, 43, 89081 Ulm, Germany;7. Almende BV, AK, Stationsplein 45, 3013 AK Rotterdam, The Netherlands;1. University of Technology Sydney, Australia;2. Nanjing University of Science and Technology, China;3. The University of Adelaide, Australia |
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| Abstract: | ![]()
This paper illustrates some of the knowledge representation structures and inference procedures proper to a high-level, fully implemented conceptual language, NKRL (Narrative Knowledge Representation Language). The aim is to show how these tools can be used to deal, in a sentiment analysis/opinion mining context, with some common types of human (and non-human) “behaviors”. These behaviors correspond, in particular, to the concrete, mutual relationships among human and non-human characters that can be expressed under the form of non-fictional and real-time “narratives” (i.e., as logically and temporally structured sequences of “elementary events”). |
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| Keywords: | Behaviors Representation of deep sentiments Narratives Standard ontologies Ontologies of events Querying and inference techniques |
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