Support Vector Machine Method Towards COVID-19
Sentiment Analysis
by Adian Fatchur Rochim
Submission date: 20-Jul-2022 02:40PM (UTC+0700) Submission ID: 1872948331
File name: 1570766875_paper.pdf (918.58K) Word count: 3369
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SIMILARITY INDEX INTERNET SOURCES PUBLICATIONS STUDENT PAPERS1
3
%2
3
%3
2
%4
1
%PRIMARY SOURCES
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Daniel Berrar. "Cross-Validation", Elsevier BV, 2019Publication
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Khairisyah Yuliani Firlia, Mohammad Reza Faisal, Dwi Kartini, Radityo Adi Nugroho, Friska Abadi. "Analysis of New Features on the Performance of the Support Vector
Machine Algorithm in Classification of Natural Disaster Messages", 2021 4th International
6
1
%7
1
%8
1
%9
1
%Science and Business Media LLC, 2021
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"Paper Titles", 2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 2021
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Imamah, Fika Hastarita Rachman. "Twitter Sentiment Analysis of Covid-19 Using Term Weighting TF-IDF And Logistic Regresion", 2020 6th Information Technology
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Roberta B. Oliveira, Aledir S. Pereira, João Manuel R.S. Tavares. "Skin lesion
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Exclude matches < 1%
Behavioral Sciences, 2015.
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