Ridho, Sholehurrohman and igit, sabda ilman (2023) Analisis Sentimen Tweet Kasus Kebocoran Data Penggunaan Facebook oleh Cambrigde Analytica. Jurnal Pepadun, 3 (1). pp. 140-147. ISSN 2774-3403

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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%

Item Type:	Article
Additional Information:	-
Uncontrolled Keywords:	Facebook; Cambridge Analytics; Sentiment Analysis; Naïve Bayes Classifier.
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Depositing User:	Unnamed user with email ridho.sholehurrohman@fmipa.unila.ac.id
Date Deposited:	19 Jun 2024 08:47
Last Modified:	19 Jun 2024 08:47
URI:	http://repository.lppm.unila.ac.id/id/eprint/53731

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