About


The Hourglass of EmotionsSenticNet is an initiative conceived at the MIT Media Laboratory in 2009 within an industrial Cooperative Awards in Science and Engineering (CASE) research project born from the collaboration between the Media Lab, the University of Stirling, and Sitekit Solutions Ltd.

Since then, SenticNet has been further developed for the design of emotion-aware intelligent applications in fields spanning from social data analytics to human-computer interaction, financial forecasting and healthcare.

The main aim of SenticNet is to make the conceptual and affective information conveyed by natural language (meant for human consumption) more easily-accessible and interpretable to machines.

This is done by replacing the bag-of-words model with a new model that sees text as a bag of concepts and narratives. By jumping the curve, sentic computing goes beyond counting word co-occurrence frequencies to classify text merely based on statisics and leverages an ensemble of symbolic and subsymbolic AI techniques (plus several other disciplines) to gain a deeper understanding of natural language.

Currently, both the SenticNet knowledge base and the SenticNet framework are being maintained and further developed by the Sentic Team, a multidisciplinary research group based at the School of Computer Science and Engineering of Nanyang Technological University in Singapore, but also by many other sentic enthusiasts around the world.