Skripsi

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

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Penilaian

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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%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002115	T54114	T541142021	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T541142021

Publisher

Inderalaya : Fakultas Ilmu Komputer, Prodi Teknik Informatika., 2021

Collation

xvii, 101 hlm,: ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.407

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Sistem Pemrograman
Prodi Teknik Informatika

Specific Detail Info

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Statement of Responsibility

MURZ

Other version/related

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