Sentic computing
Encyclopedia
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.
In particular, sentic computing involves the use of AI and Semantic Web techniques, for knowledge representation and inference; mathematics, for carrying out tasks such as graph mining and multi-dimensionality reduction; linguistics, for discourse analysis and pragmatics; psychology, for cognitive and affective modeling; sociology, for understanding social network dynamics and social influence; finally ethics, for understanding related issues about the nature of mind and the creation of emotional machines.
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.
Sentiment analysis
Sentiment analysis or opinion mining refers to the application of natural language processing, computational linguistics, and text analytics to identify and extract subjective information in source materials....
at the crossroads between affective computing
Affective computing
Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. It is an interdisciplinary field spanning computer sciences, psychology, and cognitive science...
and common sense computing, which exploits both computer and social sciences to better recognize, interpret and process opinions and sentiments over the Web.
In particular, sentic computing involves the use of AI and Semantic Web techniques, for knowledge representation and inference; mathematics, for carrying out tasks such as graph mining and multi-dimensionality reduction; linguistics, for discourse analysis and pragmatics; psychology, for cognitive and affective modeling; sociology, for understanding social network dynamics and social influence; finally ethics, for understanding related issues about the nature of mind and the creation of emotional machines.
Differently from keyword-based methods, sentic computing uses affective ontologies
Ontology
Ontology is the philosophical study of the nature of being, existence or reality as such, as well as the basic categories of being and their relations...
and common sense reasoning
Commonsense reasoning
Commonsense reasoning is the branch of Artificial intelligence concerned with replicating human thinking. There are several components to this problem, including:* Developing adequately broad and deep commonsense knowledge bases....
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.
External links
- Sentic computing official page http://cs.stir.ac.uk/~eca/sentics