ANALISIS SENTIMEN OPINI MASYARAKAT INDONESIA TERHADAP PANDEMI VIRUS CORONA (COVID-19) DI MEDIA SOSIAL TWITTER MENGGUNAKAN METODE SUPPORT VECTOR MACHINE

Aini, Rafizah (2023) ANALISIS SENTIMEN OPINI MASYARAKAT INDONESIA TERHADAP PANDEMI VIRUS CORONA (COVID-19) DI MEDIA SOSIAL TWITTER MENGGUNAKAN METODE SUPPORT VECTOR MACHINE. Skripsi thesis, State Islamic University of North Sumatera.

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Abstract

The coronavirus pandemic is an event that causes the spread of the coronavirus disease 2019 or coronavirus disease 2019 around the world. This disease is caused by a new type of coronavirus called SARS-CoV-2. The pandemic that has occurred around the world has become a topic of conversation, including on social media. One of the social media that is often used by the public is Twitter. On social media, the corona virus pandemic has always been a topic of conversation that is often discussed, causing controversy. Controversy occurs because every day the opinions on social media Twitter regarding the corona virus pandemic are always increasing so that, when people read news on social media about the pandemic, it raises concerns because people's opinions are different. From these problems the author will create a system that analyzes opinions from Twitter social media to get opinion sentiment about what is happening in the community regarding the problem of the corona virus pandemic. This research uses the support vector machine method. Support Vector Machine is a fast and effective method for text classification. The results of this study will classify positive, negative and neutral sentences. The accuracy obtained from the Support Vector Machine algorithm is 98%. Testing is done by calculating precision, recall, F-measure

Jenis Item:	Skripsi (Skripsi)
Uncontrolled Keywords:	: Twitter, opinion, algorithm, classification
Subjects:	300 Social sciences > 302 Social intercd /ction
Divisions:	Fakultas Sains dan Teknologi > Ilmu Komputer > Skripsi
Pengguna yang mendeposit:	Mr. Rizqi Aditya
Date Deposited:	05 Dec 2023 12:44
Last Modified:	05 Dec 2023 12:44
URI:	http://repository.uinsu.ac.id/id/eprint/20849

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