Analisis Sentimen Masyarakat Terhadap Kasus Pembobolan Data Nasabah Bank BSI Pada Twitter Menggunakan Metode Random Forest Dan Naïve Bayes
Desti Mualfah,
Ananda Prihatin,
Rahmad Firdaus
et al.
Abstract:Indonesia has recently been enlivened by the data breach case that hit Bank Syariah Indonesia (BSI) in May 2023, this has invited many responses from the public with various kinds of responses, especially on Twitter social media. Some people support BSI bank so they can restore the system they have but many criticize and blaspheme bank BSI for not being able to quickly fix its system which hackers compromised. The purpose of this study is to conduct a sentiment analysis to find out the response of the Indonesi… Show more
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