• DocumentCode
    228964
  • Title

    Indonesian president candidates 2014 sentiment analysis by using Twitter data

  • Author

    Gemilang, Harmando Taufik ; Erwin, Alva ; Eng, Kho I.

  • Author_Institution
    Dept. of Inf. Technol., Swiss German Univ. Tangerang, Tangerang, Indonesia
  • fYear
    2014
  • fDate
    24-25 Sept. 2014
  • Firstpage
    101
  • Lastpage
    104
  • Abstract
    The purpose of this research is to find the opinion on Twitter about the 2014 president candidates and find the correlation between the opinion on Twitter and on digital newspaper. To perform this, tweets are extracted. Some tweets will be labelled president candidates name and the positive and negative sentiment for the training set. A training will be conducted to test whether the training set is enough to perform classification or not. The next step is to calculate the sentiment results and compare to the results from digital newspaper by using a web-based application called Tirto. Deep analysing conducted to analyse the relation between the issues on Twitter and on digital newspaper.
  • Keywords
    data mining; government data processing; social networking (online); Indonesian president candidates 2014 sentiment analysis; Tirto Web-based application; Twitter data; data mining; digital newspaper; training set; Training; Data Mining; Sentiment Analysis; Support Vector Machine; Twitter Mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ICT For Smart Society (ICISS), 2014 International Conference on
  • Conference_Location
    Bandung
  • Type

    conf

  • DOI
    10.1109/ICTSS.2014.7013158
  • Filename
    7013158