Jurnal Pepadun
Vol. 3 No. 1 (2022): April

ANALISIS SENTIMEN TWEET KASUS KEBOCORAN DATA PENGGUNAAN FACEBOOK OLEH CAMBRIGDE ANALYTICA

Ridho Sholehurrohman (Jurusan Ilmu Komputer, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Lampung)
Igit Sabda Ilman (Jurusan Ilmu Komputer, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Lampung)

Article Info

Publish Date
01 Apr 2022

Abstract

The case of the Facebook user data leak by Cambridge Analytica has been spotlight in the public lately. Many of the citizens has participated discussing this case, especially in social media Twitter. Sentiment analysis is a computational research of opinions and emotions sentiment that are expressed textually. This study aims to classify positive and negative sentiment from Twitter data and to determine the accuracy of the classification model using Naïve Bayes Classifier method. Based on experiment conducted by tweet data with the “Zuckerberg” and “Cambridge Analytics” keywords, it has been produced Naïve Bayes Classifier with an accuracy of 83.06%.

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Journal Info
Jurnal Pepadun
Website

Abbrev

jurnal

Publisher

Universitas Lampung

Subject

Computer Science & IT

Description

Pepadun Journal is a journal to publish research in the fields of computer science, information systems, and informatics to researchers, scientists, and professionals. For every edition published by the Pepadun Journal, we put our effort: Using standard procedures and times for submitted ...