Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining
Soujanya Poria, Alexander F. Gelbukh, Amir Hussain, Newton Howard, Dipankar Das, Sivaji Bandyopadhyay · IEEE Intelligent Systems · 2013
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.