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Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining | IEEE Journals & Magazine | IEEE Xplore

Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining


Abstract:

SenticNet 1.0 is one of the most widely used, publicly available resources for concept-based opinion mining. The presented methodology enriches SenticNet concepts with af...Show More

Abstract:

SenticNet 1.0 is one of the most widely used, publicly available resources for concept-based opinion mining. The presented methodology enriches SenticNet concepts with affective information by assigning an emotion label.
Published in: IEEE Intelligent Systems ( Volume: 28, Issue: 2, March-April 2013)
Page(s): 31 - 38
Date of Publication: 21 January 2013

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