DocumentCode :
12974
Title :
Knowledge-Based Approaches to Concept-Level Sentiment Analysis
Author :
Cambria, Erik ; Schuller, Bjorn ; Liu, Bing ; Wang, Haixun ; Havasi, Catherine
Author_Institution :
National University of Singapore
Volume :
28
Issue :
2
fYear :
2013
fDate :
March-April 2013
Firstpage :
12
Lastpage :
14
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.
Keywords :
Data mining; Emotion recognition; Information analysis; Knowledge discovery; Natural language processing; Social network services; Special issues and sections; User interfaces; concept-level sentiment analysis; data mining; intelligent systems; knowledge mining; online social data; opinion mining;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2013.45
Filename :
6547971
Link To Document :
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