Knowledge-Based Approaches to Concept-Level Sentiment Analysis

Knowledge-Based Approaches to Concept-Level Sentiment Analysis

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,...

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Veröffentlicht in:IEEE intelligent systems 2013-03, Vol.28 (2), p.12-14
Hauptverfasser: Cambria, Erik, Schuller, Bjorn, Liu, Bing, Wang, Haixun, Havasi, Catherine
Format: Artikel
Sprache:eng
Schlagworte:
concept-level sentiment analysis
Data mining
Editors
Emotion recognition
Information analysis
intelligent systems
Knowledge base
Knowledge discovery
knowledge mining
Methods
Natural language processing
online social data
opinion mining
Social network services
Special issues and sections
Text
Texts
User interfaces
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Beschreibung
Zusammenfassung: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.
ISSN:1541-1672
1941-1294
DOI:10.1109/MIS.2013.45