Sentic computing
Sentic computing is a multi-disciplinary approach to opinion mining and sentiment analysis at the crossroads between affective computing and common sense computing, which exploits both computer and social sciences to better recognize, interpret, and process opinions and sentiments over the Web.
Differently from keyword-based methods, sentic computing uses affective ontologies and common sense reasoning tools for a concept-level analysis of natural language text. Specifically, the ensemble application of graph mining and multi-dimensionality reduction techniques is employed, together with a novel emotion categorization model, on an affective common sense knowledge base in order to infer the cognitive and affective information associated with natural language and, hence, to develop emotion-sensitive systems in fields such as
social data mining, multimedia management, personalization and persuasion, human-computer interaction, intelligent user interfaces, social media marketing, and patient-centered applications.
Differently from keyword-based methods, sentic computing uses affective ontologies and common sense reasoning tools for a concept-level analysis of natural language text. Specifically, the ensemble application of graph mining and multi-dimensionality reduction techniques is employed, together with a novel emotion categorization model, on an affective common sense knowledge base in order to infer the cognitive and affective information associated with natural language and, hence, to develop emotion-sensitive systems in fields such as
social data mining, multimedia management, personalization and persuasion, human-computer interaction, intelligent user interfaces, social media marketing, and patient-centered applications.
Comments