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Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining
Found in: IEEE Intelligent Systems
By Soujanya Poria,Alexander Gelbukh,Amir Hussain,Newton Howard,Dipankar Das,Sivaji Bandyopadhyay
Issue Date:March 2013
pp. 31-38
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.
Isanette: A Common and Common Sense Knowledge Base for Opinion Mining
Found in: Data Mining Workshops, International Conference on
By Erik Cambria,Yangqiu Song,Haixun Wang,Amir Hussain
Issue Date:December 2011
pp. 315-322
The ability to understand natural language text is far from being emulated in machines. One of the main hurdles to overcome is that computers lack both the common and the common sense knowledge humans normally acquire during the formative years of their li...