• DocumentCode
    109100
  • 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
  • Volume
    28
  • Issue
    3
  • fYear
    2013
  • fDate
    May-June 2013
  • Firstpage
    6
  • Lastpage
    9
  • 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;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2013.68
  • Filename
    6588860
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=109100