• DocumentCode
    3756112
  • Title

    Towards Analyzing Saudi Tweets

  • Author

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

  • Author_Institution
    Inf. Technol. Dept., King Saud Univ., Riyadh, Saudi Arabia
  • fYear
    2015
  • fDate
    4/1/2015 12:00:00 AM
  • Firstpage
    114
  • Lastpage
    117
  • Abstract
    Recently Arabic dialects are receiving attention from the NLP research community due to their high usage in social media. One of the challenges of sentiment analysis of social media is the use of dialects. Since our ongoing research is on sentiment analysis of Saudi tweets, we conduct a pilot study to discover the percentage of Modern Standard Arabic (MSA) use by Saudi tweeters. The preliminary results show that 80% of the tweets used in the study are in MSA. Some phenomena found about the use of dialect in Saudi tweets are highlighted.
  • Keywords
    "Twitter","Tagging","Standards","Media","Speech recognition","Speech","Computational linguistics"
  • Publisher
    ieee
  • Conference_Titel
    Arabic Computational Linguistics (ACLing), 2015 First International Conference on
  • Print_ISBN
    978-1-4673-9154-2
  • Type

    conf

  • DOI
    10.1109/ACLing.2015.23
  • Filename
    7422288
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3756112