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Dergiler / Balkan Journal of Electrical and Computer Engineering / 2026 / Cilt: 13 Sayı: 3

The Impact of Artificial Intelligence on Sentiment Analysis Detection in Music Reviews

Murat Şimşek(OSTİM TEKNİK ÜNİVERSİTESİ)0000-0002-8648-3693
Buğra Kağan Kayhan(OSTİM TEKNİK ÜNİVERSİTESİ)0009-0008-0501-3982
Sayfa
243–252
Yayın Tarihi
2025-09-30
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Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Thus, it will be possible to continuously improve user experiences and enhance service quality.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:This study aims to perform sentiment and content analysis of Spotify user reviews using machine learning and deep learning methods.
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Temel Bulgular & Veri:The performance of these methods is evaluated using various metrics such as accuracy, precision, recall, and F1-score.
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Sonuç & Katkı:Thus, it will be possible to continuously improve user experiences and enhance service quality.
🔬Tür:Literatür & Derleme Çalışması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Sentiment Analysis · Machine Learning · Deep Learning

Abstract

This study aims to perform sentiment and content analysis of Spotify user reviews using machine learning and deep learning methods. The goal is to better understand users' experiences and satisfaction. The study employs various machine learning and deep learning techniques to identify the emotional tendencies in user reviews and analyze the relationship between these tendencies and content features. The performance of these methods is evaluated using various metrics such as accuracy, precision, recall, and F1-score. By identifying the strengths and weaknesses of each method, the study determines which techniques are more effective in specific situations. The results provide valuable insights for improving the quality of music streaming services and enhancing user experience. This study aims to help service providers increase user satisfaction by gaining a better understanding of user feedback. Additionally, these analyses are expected to provide valuable data for future improvements in music streaming services. Thus, it will be possible to continuously improve user experiences and enhance service quality.

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Bu Makaleye Atıf Yap

Şimşek, M., Kayhan, B. K. (2025). The Impact of Artificial Intelligence on Sentiment Analysis Detection in Music Reviews. Balkan Journal of Electrical and Computer Engineering, Cilt: 13 Sayı: 3, 243–252. https://doi.org/10.17694/bajece.1492287

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