Sentic computing

Sentic computing[1] 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[2][3] and common sense reasoning[4][5] tools for a concept-level analysis of natural language text. Specifically, the ensemble application of graph mining[6][7] and multi-dimensionality reduction[8][9] techniques is employed, together with a novel emotion categorization model,[10] 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,[11] multimedia management,[12] personalization and persuasion,[13] human-computer interaction,[14] intelligent user interfaces,[15] social media marketing,[2] and patient-centered applications.[16][17][18]

See also

References

  1. ^ Cambria, Erik (2012). Roelandse, Martijn. ed. Sentic Computing: Techniques, Tools and Applications. Berlin: Springer-Verlag. 
  2. ^ a b Erik Cambria; Marco Grassi, Amir Hussain and Catherine Havasi (2011). "Sentic Computing for Social Media Marketing". In press: Multimedia Tools and Applications Journal. Springer-Verlag, Berlin Heidelberg (DOI 10.1007/s11042-011-0815-0). http://springerlink.com/content/q1vq625w2x27x4r7. 
  3. ^ Alina Lascu; Erik Cambria and Marco Grassi (2011). "Human Semiotics Ontology". Proceedings of ICMC. 
  4. ^ Erik Cambria; Amir Hussain, Catherine Havasi and Chris Eckl (2009). "Common Sense Computing: From the Society of Mind to Digital Intuition and Beyond". LNCS, vol. 5707. Springer-Verlag, Berlin Heidelberg. pp. 252-259. http://www.springerlink.com/content/x24367q25p221p75. 
  5. ^ Erik Cambria; Yangqiu Song, Haixun Wang and Amir Hussain (2011). "Isanette: A Common and Common Sense Knowledge Base for Opinion Mining". Proceedings of ICDM. 
  6. ^ Erik Cambria; Robert Speer, Catherine Havasi and Amir Hussain (2010). "SenticNet: a Publicly Available Semantic Resource for Opinion Mining". Proceedings of AAAI CSK. pp. 14-18. http://www.aaai.org/ocs/index.php/FSS/FSS10/paper/download/2216/2617.pdf. 
  7. ^ Erik Cambria; Thomas Mazzocco, Amir Hussain and Tariq Durrani (2011). "Switching Between Different Ways to Think: Multiple Approaches to Affective Common Sense Reasoning". LNCS, vol. 6800. Springer-Verlag, Berlin Heidelberg. pp. 56-69. 
  8. ^ Erik Cambria; Amir Hussain, Catherine Havasi and Chris Eckl (2009). "AffectiveSpace: Blending Common Sense and Affective Knowledge to Perform Emotive Reasoning". Proceedings of CAEPIA. pp. 32-41. http://scholar.tdg-seville.info/Resources/Cambria2009.pdf. 
  9. ^ Erik Cambria; Thomas Mazzocco, Amir Hussain and Chris Eckl (2011). "Sentic Medoids: Organizing Affective Common Sense Knowledge in a Multi-Dimensional Vector Space". Proceedings of ISNN. http://springerlink.com/content/y87t46v473528w4x. 
  10. ^ Erik Cambria; Amir Hussain, Catherine Havasi and Chris Eckl (2010). "SenticSpace: Visualizing Opinions and Sentiments in a Multi-Dimensional Vector Space". LNCS, vol. 6279. Springer-Verlag, Berlin Heidelberg. pp. 85–393. http://springerlink.com/content/t6515hw286334534. 
  11. ^ Erik Cambria; Praphul Chandra, Avinash Sharma and Amir Hussain (2010). "Do Not Feel The Trolls". Proceedings of ISWC. http://sdow.semanticweb.org/2010/pub/sdow2010_paper_1.pdf. 
  12. ^ Marco Grassi; Erik Cambria, Amir Hussain and Francesco Piazza (2011). "Sentic Web: a New Paradigm for Managing Social Media Affective Information". In press: Cognitive Computation. Springer-Verlag, Berlin Heidelberg (DOI 10.1007/s12559-011-9101-8). 
  13. ^ Erik Cambria; Amir Hussain and Chris Eckl (2011). "Taking Refuge in Your Personal Sentic Corner". Proceedings of IJCNLP. 
  14. ^ Erik Cambria; Isabelle Hupont, Amir Hussain, Eva Cerezo and Sandra Baldassarri (2011). "Sentic Avatar: Multimodal Affective Conversational Agent with Common Sense". LNCS, vol. 6456. Springer-Verlag, Berlin Heidelberg. pp. 81-95. http://www.springerlink.com/content/v408824460u4kl46. 
  15. ^ Praphul Chandra; Erik Cambria and Alvin Pradeep (2011). "Enriching Social Communication Through Semantics and Sentics". Proceedings of IJCNLP. 
  16. ^ Erik Cambria; Amir Hussain, Catherine Havasi and Chris Eckl (2010). "Towards Crowd Validation of the UK National Health Service". Proceedings of WebSci. http://journal.webscience.org/352/2/websci10.pdf. 
  17. ^ Erik Cambria; Amir Hussain, Tariq Durrani, Catherine Havasi, Chris Eckl and James Munro (2010). "Sentic Computing for Patient Centered Applications". Proceedings of IEEE ICSP. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5657072. 
  18. ^ Erik Cambria; Amir Hussain and Chris Eckl (2011). "Bridging the Gap between Structured and Unstructured Health-Care Data through Semantics and Sentics". Proceedings of WebSci. http://websci11.org/fileadmin/websci/Posters/94_paper.pdf. 

External links