PERBANDINGAN SUPPORT VECTOR MACHINE (SVM) DAN NAÏVE BAYES PADA ANALISIS SENTIMEN

KARINA, KARINA and Yusliani, Novi and Rodiah, Desty (2021) PERBANDINGAN SUPPORT VECTOR MACHINE (SVM) DAN NAÏVE BAYES PADA ANALISIS SENTIMEN. Undergraduate thesis, Sriwijaya University.

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Abstract

Youtube is a social media that provides many shows, one of which is movie Trailers. A film Trailer is a short Trailer from a film that is used as a promotional medium. Through the comments on the movie Trailer, it can be seen whether the film that will be shown is good to watch or not. So a system is needed to analyze comments to be positive and negative. In this study, the Support Vector Machine and Naïve Bayes methods were used. SVM works by defining a hyperplane that maximizes the margin between two different classes. Meanwhile, Naïve Bayes is a method that is simple and easy to process by applying probability theory to find the greatest probability of classification. Through the advantages of each method, the researcher makes a comparison to see the best accuracy of the two methods in conducting sentiment analysis on Youtube comment data. The results of the test show that SVM has a better performance with an accuracy value of 86% while Naïve Bayes has an accuracy of 46%.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Analisis sentimen, Komentar, Youtube, Support Vector Machine, Naïve Bayes
Subjects: Q Science > Q Science (General) > Q300-390 Cybernetics > Q325.5 Machine learning
Divisions: 09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User: Karina Karina
Date Deposited: 16 Sep 2021 08:01
Last Modified: 16 Sep 2021 08:01
URI: http://repository.unsri.ac.id/id/eprint/54114

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