Indonesian President Candidates 2014 Sentiment Analysis by Using Twitter Data

被引：0

作者：

Gemilang, Harmando Taufik ^{[1
]}

Erwin, Alva ^{[1
]}

Eng, Kho I. ^{[1
]}

机构：

[1] Swiss German Univ, Dept Informat Technol, Tangerang, Indonesia

来源：

2014 INTERNATIONAL CONFERENCE ON ICT FOR SMART SOCIETY (ICISS) | 2014年

关键词：

Data Mining; Twitter Mining; Sentiment Analysis; Support Vector Machine;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：101 / 104

页数：4