Komparasi Algoritma Naïve Bayes Dan Support Vector Machine (SVM) Pada Analisis Sentimen Kebijakan Kemdikbudristek Mengenai Kuota Internet Selama Covid-19

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3ABJVSHNCN" target="_blank" >RIV/00216208:11320/23:BJVSHNCN - isvavai.cz</a>

Result on the web

<a href="https://ejournal.unama.ac.id/index.php/processor/article/view/897" target="_blank" >https://ejournal.unama.ac.id/index.php/processor/article/view/897</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.33998/processor.2023.18.2.897" target="_blank" >10.33998/processor.2023.18.2.897</a>

Result language

ruština

Original language name

Komparasi Algoritma Naïve Bayes Dan Support Vector Machine (SVM) Pada Analisis Sentimen Kebijakan Kemdikbudristek Mengenai Kuota Internet Selama Covid-19

Original language description

"Sentiment analysis is an activity that is used to analyze public opinion about an incident such as the Ministry of Education and Culture's internet assistance quota during the Covid-19 pandemic through one of the Twitter social media. Twitter is a microblogging platform that is used to write an opinion or opinion about an event that can be used as a source of data used. The Naïve Bayes method and Support Vector Machine (SVM) are methods with a Machine Learning approach that can be used to perform sentiment analysis on Kemdikbudristek policies regarding MoEC Quotas in the process of classifying a tweet based on its emotional level and knowing the accuracy comparison between the Naïve Bayes method and the Support Vector Machine ( SVM)."

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

"Jurnal PROCESSOR"

ISSN

1907-6738

e-ISSN

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Volume of the periodical

18

Issue of the periodical within the volume

2

Country of publishing house

RU - RUSSIAN FEDERATION

Number of pages

9

Pages from-to

183-191

UT code for WoS article

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EID of the result in the Scopus database

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