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Issue No. 02 - March-April (2013 vol. 28)
ISSN: 1541-1672
pp: 12-14
Catherine Havasi , Massachusetts Institute of Technology
Bjorn Schuller , Technische Universität München
Haixun Wang , Microsoft Research Asia
Bing Liu , University of Illinois at Chicago
Erik Cambria , National University of Singapore
ABSTRACT
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.
INDEX TERMS
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
CITATION
Catherine Havasi, Bjorn Schuller, Haixun Wang, Bing Liu, Erik Cambria, "Knowledge-Based Approaches to Concept-Level Sentiment Analysis", IEEE Intelligent Systems, vol. 28, no. , pp. 12-14, March-April 2013, doi:10.1109/MIS.2013.45
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