• DocumentCode
    70990
  • Title

    Harvesting Opinions and Emotions from Social Media Textual Resources

  • Author

    Chatzakou, Despoina ; Vakali, Athena

  • Author_Institution
    Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
  • Volume
    19
  • Issue
    4
  • fYear
    2015
  • fDate
    July-Aug. 2015
  • Firstpage
    46
  • Lastpage
    50
  • Abstract
    Harvesting sentiments from social media textual resources can reveal insightful information. The understanding and modeling of such resources are key requirements for accurately capturing the conveyed sentiments. Here, the authors consider multiple approaches, with an emphasis on detecting sentiments in Web 2.0 textual resources.
  • Keywords
    behavioural sciences computing; emotion recognition; social networking (online); text analysis; Web 2.0 textual resources; emotion harvesting; opinion harvesting; sentiment detection; social media textual resources; Adaptation models; Analytical models; Filtering; Media; Sentiment analysis; Text processing; Web 2.0; Internet/Web technologies; sentiment analysis; textual resources;
  • fLanguage
    English
  • Journal_Title
    Internet Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7801
  • Type

    jour

  • DOI
    10.1109/MIC.2015.28
  • Filename
    7045420
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=70990