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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Bibliographic Details
Main Authors: Rifqatul Mukarramah, Dedy Atmajaya, Lutfi Budi Ilmawan
Format: Article
Language:English
Published: Fakultas Ilmu Komputer UMI 2021-08-01
Series:Ilkom Jurnal Ilmiah
Subjects:
svm algorithm
covid-19
linear kernels
polynomial kernels
sentiment analysis
Online Access: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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