Article Dans Une Revue Neural Networks Année : 2014

Sentiments analysis at conceptual level making use of the Narrative Knowledge Representation Language

Résumé

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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Dates et versions

hal-03973674 , version 1 (04-02-2023)

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Citer

Gian Piero Zarri. Sentiments analysis at conceptual level making use of the Narrative Knowledge Representation Language. Neural Networks, 2014, 58, pp.82-97. ⟨10.1016/j.neunet.2014.05.010⟩. ⟨hal-03973674⟩
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