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