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Indonesian President Candidates 2014 Sentiment Analysis By Using Twitter Data

Kho, I Eng - Personal Name; Erwin, Alva - Personal Name; Gemilang, Harmando Taufik - Personal Name;

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. the results was showing that opinion on Tirto and Twitter does not synchronized also both have different issues.


Availability
B01615 (Rack Thesis)Available
Detail Information
Series Title
-
Call Number
1615
Publisher
: Swiss German University., 2014
Collation
-
Language
English
ISBN/ISSN
-
Classification
NONE
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Data mining
IT
Sentiment analysis
Text mining
Support vector machine
Twitter mining
Specific Detail Info
-
Statement of Responsibility
-
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No other version available

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