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All Journal Jurnal Transformatika Jurnal SOLMA SINTECH (Science and Information Technology) Journal Jurnal Info Sains : Informatika dan Sains The Indonesian Journal of Computer Science
Wardani, Deyana Kusuma
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Computer Science & IT Electrical & Electronics Engineering Engineering Other

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Journal : SINTECH (Science and Information Technology) Journal

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Detecting Emotions of Indonesian Songs Based on Plutchik’s Theory using Data Mining Wardani, Deyana Kusuma; Wazaumi, Dwi Diana; Winahyu, Raden Rara Kartika Kusuma
SINTECH (Science and Information Technology) Journal Vol. 7 No. 1 (2024): SINTECH Journal Edition April 2024
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v7i1.1509

Abstract

Listening to songs is a daily activity that everyone engages in. Most people choose songs based on their mood, so a system is needed to detect emotions from song lyrics. Previous research only focused on five basic emotions: happy, sad, love, anger, and fear. In this study, we propose a new method to detect emotions from song lyrics using Plutchik's emotion theory. The data used for this research consisted of 250 song lyrics from Indonesian songs. This research categorizes human emotions into eight: joy, trust, surprise, sadness, disgust, anger, and anticipation. Next, the threshold value is calculated. This value is used to determine the dominant emotion. If the frequency value of an emotion is higher than the threshold value, the system considers it as the dominant emotion. The dominant emotions are then classified into positive and negative emotions using cosine similarity calculations. The sampling technique involves using 30% of the test data, resulting in an accuracy of 0.81.
Co-Authors ABDUL AZIZ ABDULLAH Arie Kusumawati Dwi Diana Wazaumi Fatihia, Wifda Muna Mayangsari, Mustika Kurnia Rahmawati, Oktavia Citra Resmi Winahyu, Raden Rara Kartika Kusuma