Performance comparison of support vector machine (SVM) with linear kernel and polynomial kernel for multiclass sentiment analysis on twitter

Performance comparison of support vector machine (SVM) with linear kernel and polynomial kernel for multiclass sentiment analysis on twitter

Sentiment analysis is a technique to extract information of ones perception, called sentiment, on an issue or event. This study employs sentiment analysis to classify societys response on covid-19 virus posted at twitter into 4 polars, namely happy, sad, angry, and scared. Classification technique u...

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Detalles Bibliográficos
Autores principales: Rifqatul Mukarramah, Dedy Atmajaya, Lutfi Budi Ilmawan
Formato: Artículo
Lenguaje:English
Publicado: Fakultas Ilmu Komputer UMI 2021-08-01
Colección:Ilkom Jurnal Ilmiah
Materias:
svm algorithm
covid-19
linear kernels
polynomial kernels
sentiment analysis
Acceso en línea:https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/851

Internet

https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/851

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