SenticNet

SenticNet is a pioneering brand that emerged from a collaborative research project between the MIT Media Laboratory, the University of Stirling, and Sitekit Solutions Ltd. Established in 2009, SenticNet aims to enhance machine learning by enabling the interpretation of emotional and conceptual information in natural language. Breaking away from the traditional bag-of-words model, SenticNet introduces a new approach that views text as a collection of concepts and narratives.

By combining symbolic and subsymbolic AI techniques, SenticNet goes beyond word frequencies to gain a profound understanding of human language. SenticNet's applications span various domains, including social data analytics, human-computer interaction, financial forecasting, and healthcare. The brand's knowledge base and framework are maintained and developed by the Sentic Team at Nanyang Technological University in Singapore, in collaboration with passionate sentic enthusiasts worldwide.

Join SenticNet's active community and stay updated with their breakthrough research in influential publications and conferences. Follow SenticNet to be a part of the cutting-edge advancements in sentiment computing and revolutionize the way machines comprehend and interact with human language