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Danny Naufal Pratama
Department of Information Systems, Telkom University
Computer Science & IT Electrical & Electronics Engineering

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Journal : Bulletin of Computer Science and Electrical Engineering (BCSEE)

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Sentiment Analysis of YouTube Movie Trailer Comments Using Naïve Bayes Risky Novendri; Annisa Syafarani Callista; Danny Naufal Pratama; Chika Enggar Puspita
Bulletin of Computer Science and Electrical Engineering Vol. 1 No. 1 (2020): June 2020 - Bulletin of Computer Science and Electrical Engineering
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (436.869 KB) | DOI: 10.25008/bcsee.v1i1.5

Abstract

Netflix has produced many TV series, one of which is Money Heist. This series has four seasons with a total of 38 episodes. The fourth season was released on April 3, 2020, which has eight episodes. The fourth season of Money Heist is 31.73 times more demand than the average series around the world. However, despite the many requests for the fourth season of the Money Heist series, there are still some negative comments made by the connoisseurs of the Money Heist series. In the YouTube comments column on the Netflix channel, there are still many who comment neutral and provide positive comments on this series. Therefore, there needs to be a method in which viewers' comments or opinions can be analyzed in order to be able to classify the opinions they make about this series by conducting sentiment analysis using the Naïve Bayes algorithm. Based on the results of research conducted, Naive Bayes can be said to be successful in conducting sentiment analysis because it achieves results of 81%, 74.83%, and 75.22% for accuracy, precision, and recall, respectively.
Co-Authors Annisa Syafarani Callista Chika Enggar Puspita Risky Novendri