Issue No. 02 - March-April (2013 vol. 28)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2013.45
Erik Cambria , National University of Singapore
Bjorn Schuller , Technische Universität München
Bing Liu , University of Illinois at Chicago
Haixun Wang , Microsoft Research Asia
Catherine Havasi , Massachusetts Institute of Technology
The guest editors introduce novel approaches to opinion mining and sentiment analysis that go beyond a mere word-level analysis of text and provide concept-level methods. Such approaches allow a more efficient passage from (unstructured) textual information to (structured) machine-processable data, in potentially any domain.
Special issues and sections, Social network services, Data mining, Knowledge discovery, Emotion recognition, User interfaces, Information analysis, Natural language processing, online social data, concept-level sentiment analysis, knowledge mining, data mining, opinion mining, intelligent systems
C. Havasi, B. Schuller, H. Wang, B. Liu and E. Cambria, "Knowledge-Based Approaches to Concept-Level Sentiment Analysis," in IEEE Intelligent Systems, vol. 28, no. , pp. 12-14, 2013.