• DocumentCode
    610262
  • Title

    Open issues in the sentiment analysis of Arabic social media: A case study

  • Author

    El-Beltagy, S.R. ; Ali, Ahmad

  • Author_Institution
    Center for Inf. Sci., Nile Univ., Giza, Egypt
  • fYear
    2013
  • fDate
    17-19 March 2013
  • Firstpage
    215
  • Lastpage
    220
  • Abstract
    With the rapid increase in the volume of Arabic opinionated posts on different microblogging mediums comes an increasing demand for Arabic sentiment analysis tools. Yet, research in the area of Arabic sentiment analysis is progressing at a very slow pace compared to that being carried out in English and other languages. This paper highlights the major problems and open research issues that face sentiment analysis of Arabic social media. The paper also presents a case study the goal of which is to investigate the possibility of determining the semantic orientation of Arabic Egyptian tweets and comments given limited Arabic resources. One of the outcomes of the presented study, is an Egyptian dialect sentiment lexicon.
  • Keywords
    data mining; natural language processing; social networking (online); Arabic Egyptian comments; Arabic Egyptian tweets; Arabic opinionated posts; Arabic resources; Arabic sentiment analysis tool; Arabic social media; Egyptian dialect sentiment lexicon; microblogging mediums; open research issues; opinion mining; semantic orientation; Accuracy; Buildings; Context; Media; Semantics; Sentiment analysis; Twitter; Arabic; Microblogs; Opinion Mining; Sentiment Analysis; Sentiment Lexixons; Social Media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Information Technology (IIT), 2013 9th International Conference on
  • Conference_Location
    Abu Dhabi
  • Type

    conf

  • DOI
    10.1109/Innovations.2013.6544421
  • Filename
    6544421