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Suharyo Herwasto
Informatics Department, Universitas Islam Sultan Agung, Indonesia
Computer Science & IT Electrical & Electronics Engineering

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Sentiment Analysis of Indonesian Figure using Support Vector Machine Suharyo Herwasto; Imam Much Ibnu Subroto; Badieah Assegaf
Journal of Telematics and Informatics Vol 6, No 3: September 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v6i3.230-237

Abstract

On the political year 2018 will be mutually popping reverberated figures for Indonesian presidential candidate 2019. The figures recognition process generally are now using social media, so it would appear the opinions of social media users. Opinions that appeared not only contain positive and negative polarity, but also contain a sentence of subjective and objective. By using a machine learning algorithm, namely Support Vector Machine, made sentiment analysis. The results of the analysis of this sentiment more optimally use the kernel Linear with the F-Measure of Polarity 68%, 68%, 63%, and the F-Measure Subjectivity 73%, 77%, 75% for each figure Anies Baswedan, Joko Widodo, and Prabowo Subianto.
Co-Authors Badieah Assegaf Imam Much Ibnu Subroto