Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining
IEEE Intelligent Systems
By Soujanya Poria,Alexander Gelbukh,Amir Hussain,Newton Howard,Dipankar Das,Sivaji Bandyopadhyay
Issue Date:March 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.