• DocumentCode
    3582714
  • Title

    Subjectivity and sentiment analysis of Arabic: Trends and challenges

  • Author

    Al-Twairesh, Nora ; Al-Khalifa, Hend ; Al-Salman, AbdulMalik

  • Author_Institution
    Inf. Technol. Dept., King Saud Univ., Riyadh, Saudi Arabia
  • fYear
    2014
  • Firstpage
    148
  • Lastpage
    155
  • Abstract
    Recently, subjectivity and sentiment analysis of Arabic has received much attention from the research community. In the past two years, an enormous number of references in the field have emerged compared to what has been published in previous years. In this paper, we present an updated survey of the emerging research on subjectivity and sentiment analysis of Arabic. We also highlight the challenges and future research directions in this field.
  • Keywords
    natural language processing; Arabic; sentiment analysis; subjectivity analysis; Accuracy; Feature extraction; Niobium; Semantics; Sentiment analysis; Support vector machines; Twitter; Arabic; Challenges; Subjectivity and Sentiment Analysis; Survey;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Systems and Applications (AICCSA), 2014 IEEE/ACS 11th International Conference on
  • Type

    conf

  • DOI
    10.1109/AICCSA.2014.7073192
  • Filename
    7073192