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
Link To Document :
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