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, in potentially any domain.

Authors

• Erik Cambria Nanyang Technological University, Singapore
• Bjorn Schuller
• Bing Liu
• Haixun Wang
• Catherine Havasi

Keywords

• Special issues and sections
• Social network services
• Data mining
• Knowledge discovery
• Emotion recognition
• User interfaces
• Information analysis
• Natural language processing
• concept-level sentiment analysis
• knowledge mining
• opinion mining
• intelligent systems
• online social data