Jurnal Nasional Ilmu Komputer
Vol. 4 No. 1 (2023): Jurnal Nasional Ilmu Komputer

Sentimen Pengguna Twitter Mengenai Isu Kebocoran Data Dengan Algoritma Naïve Bayes

Achmad Musyaffa Taufiqi (Narotama University)
Aryo Nugroho (Universitas Narotama)



Article Info

Publish Date
01 Mar 2023

Abstract

Sensitive data leakage occurs when it is unintentionally made available to or accessed by unauthorized individuals. Sentiment analysis is the process of analyzing text to gather different data from the web and social media in order to obtain opinions from internet users on a particular topic. Sentiment analysis is a branch of Natural Language Processing (NLP) that develops a system for extracting and identifying public opinion from text that is then transformed into structured data. One kind of technique for classifying data is Naïve Bayes. Naïve Bayes uses conditional probabilities to assign labels to instances. This study collects information from tweets sent by Twitter users on the subject of "Data Leakage" and then uses the Naïve Bayes method for sentiment analysis to determine the precision of GaussianNB

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Journal Info

Abbrev

jnik

Publisher

Subject

Computer Science & IT

Description

Jurnal Nasional Ilmu Komputer (Jurnal-NIK) is a media for lecturers and students to publish research results dedicated to all aspects of the latest outstanding developments in the field of information systems and informatics. Areas of research include, but are not limited to the information systems, ...