ANALISIS SENTIMEN TWEET VAKSIN COVID 19 SINOVAC MENGGUNAKAN METODE SUPPORT VECOR MACHINE

Bita Parga Zen, S.Kom., M.Han, BPZ and Danang, Wicaksana and Halim, Alfidzar ANALISIS SENTIMEN TWEET VAKSIN COVID 19 SINOVAC MENGGUNAKAN METODE SUPPORT VECOR MACHINE. JDMSI. ISSN 2745-8485

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Abstract

In early 2020, the world was shocked by the incidence of severe infections with unknown causes, the Covid-19 virus that is currently sweeping the world which causes diseases in humans and animals. Childhood people still feel sad, afraid, angry or feel happy with the spread of this disease and there has not been a drug or vaccine that has succeeded in paralyzing this virus, so far there have been several institutions or companies that are developing the Covid-19 vaccine, one of which is Sinovac. Twitter is a social networking service website that is in great demand by internet users which is very often used by the public to provide opinions about this Sinovac vaccine. Using algorithms Support Vector Machine (SVM) is a classification method that predicts class based on a model or pattern from the results of the training process, sentiment analysis is carried out to determine the response of most of the community, mostly about this Sinovac vaccine. And got a good accuracy of 74%.

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