• DocumentCode
    3649682
  • Title

    Analysis of the relation between Turkish twitter messages and stock market index

  • Author

    Mehmet Ulvi Şimşek;Suat Özdemir

  • Author_Institution
    Computer Engineering Department, Faculty of Engineering, Gazi University, Ankara, TURKEY
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The increasing popularity of social networks also increased the amount of data collected in these networks. Online social applications, which are also defined as social media, provide ways of accessing large amounts of data about their users over the Internet. Not surprisingly, researchers started to focus on the data extraction process in these networks. In this context, data mining applications and data analysis allow researchers to extract some useful information about the masses and people. In this study, we examine a Turkish twitter data set using data mining techniques. Initially, Turkish tweet dataset is collected and emotional words are determined. An analysis is carried out to see if there is a relation between Turkish tweets and the Turkish stock market index. To the best of our knowledge, this is the first study performed on Turkish tweets and stock market index.
  • Keywords
    "Stock markets","Twitter","Data mining","Blogs","Indexes","Time domain analysis"
  • Publisher
    ieee
  • Conference_Titel
    Application of Information and Communication Technologies (AICT), 2012 6th International Conference on
  • Print_ISBN
    978-1-4673-1739-9
  • Type

    conf

  • DOI
    10.1109/ICAICT.2012.6398520
  • Filename
    6398520