Title :
Statistical Approaches to Concept-Level Sentiment Analysis
Author :
Cambria, Erik ; Schuller, Bjorn ; Liu, Bing ; Wang, Haixun ; Havasi, Catherine
Author_Institution :
National University of Singapore
Abstract :
The guest editors introduce novel statistical approaches to concept-level sentiment analysis that go beyond a mere syntactic-driven analysis of text and provide semantic-based methods. Such approaches allow a more efficient passage from (unstructured) textual information to (structured) machine-processable data, in potentially any domain.
Keywords :
Computational linguistics; Data mining; Knowledge discovery; Natural language processing; Social network services; Special issues and sections; Statistical analysis; Text analysis; Computational linguistics; Data mining; Knowledge discovery; Natural language processing; Social network services; Special issues and sections; Statistical analysis; Text analysis; concept-level sentiment analysis; data mining; intelligent systems; knowledge mining; online social data; opinion mining;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2013.68
