Klasifikasi Tweet di Twitter dengan Menggunakan Metode K-Nearest Neighbor

نویسندگان

چکیده

Twitter is a social media and also microblog that allows users to send read short messages of no more than 280 characters as tweets. Tweet are currently not limited in terms age, information, communication. The lack information on tweets results lot difficult know the facts or intentions tweet. This can have negative impacts such fraud, leading public opinion negative. One topics has been discussed Indonesian society since March 2020. Coranavirus Disease 2019 (COVID-19) disease new type coronavirus virus (SARS-CoV-2) taken world by storm WHO declared it pandemic. As 10, 2022, 5.85 million Covid cases confirmed out total 453 world. Covid-19 case be place for certain parties disseminate wider community. data obtained from networks based queries Indonesian, this study aims determine pros cons against Covid-19. To find tweet counter done looking at existing one one, but takes long time effort because large number In using K-Nearest Neighbor (KNN) method many 1200 data. Based research done, said sentiment 2020 regarding COVID-19 tends negative, followed positive neutral opinions. But 2021, goes by, follow neutral.

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ژورنال

عنوان ژورنال: Jurnal Sistim Informasi dan Teknologi

سال: 2022

ISSN: ['2686-3154']

DOI: https://doi.org/10.37034/jsisfotek.v4i2.125