Published: 2022-01-02
Analisis Sentimen Tweet KRI Nanggala 402 di Twitter menggunakan Metode Naïve Bayes Classifier
DOI: 10.35870/jtik.v6i2.398
Muhammad Ariel Djamaludin, Agung Triayudi, Eri Mardiani
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Muhammad Ariel Djamaludin:
Nasional University
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Agung Triayudi:
Nasional University
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Eri Mardiani:
Nasional University
Abstract
Social media is one of the technological developments that has contributed greatly in making it easy for us to communicate and socialize, one of which is using Twitter social media. Twitter in this study is used as a data source to analyze tweets discussing KRI Nanggala 402. Analysis of KRI Nanggala 402 twitter sentiment is used to see the tendency of public responses to the sinking of the KRI Nanggala 402 submarine whether to give positive or negative opinions. This Sentiment analysis uses the Naïve Bayes Classifier method, which is a classification method. The first research stage is crawling, processing, classification, and evaluation. The classification stage is carried out after the processing phase, where the classification results tend to be positive or negative, using the Naïve Bayes Classifier method. The accuracy of the system in the Sentiment analysis of the KRI Nanggala 402 tweet is 73.00%.
Keywords
Social Media; Sentiment analysis; KRI Nanggala 402; Naïve Bayes Classifier; Twitter
Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 6 No. 2 (2022)
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Section: Computer & Communication Science
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Published: 2022-01-02
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License: CC BY 4.0
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Copyright: © 2022 Authors
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DOI: 10.35870/jtik.v6i2.398
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Muhammad Ariel Djamaludin, Nasional University
Agung Triayudi, Nasional University
Eri Mardiani, Nasional University
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