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All Journal Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research
Bhaswara, Maulana Muzakki
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Humanities Economics, Econometrics & Finance Education Social Sciences Other

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Analisis Sentimen Ulasan Pengguna Aplikasi Disney+ Hotstar Menggunakan Naive Bayes Classifier Siharta, Niken Febrinikmah; Bhaswara, Maulana Muzakki; Firmantara, Wahyu; Sari, Anggraini Puspita
Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Vol. 1 No. 4 (2024): AGUSTUS-OKTOBER 2024
Publisher : UNIVERSITAS SERAMBI MEKKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/mister.v1i4.2120

Abstract

This research suggests an approach using Naive Bayes classification to analyze the sentiment from the user reviews of the Disney+ Hotstar application on the Google Play Store. Review data is processed using the Naive Bayes classification method. This aims to create a text representation then Naive Bayes will group it into positive, negative or neutral categories. The expression results show that this model is able to overcome problems in terms of sentiment analysis with good accuracy. Evaluation uses several standards, namely accuracy, precision, recall, and F1-Score.With accuracy results of 81,6 %, precision of 58 %, recall of 83%, and f1-score of 68%. The results of this research shows useful information for application developers in improving the quality of their products. Apart from that, they can also see public sentiment towards the Disney+ Hotstar application. The research results can also be adapted to analyze sentiment on other applications available on digital platforms and have a positive impact on technological progress.
Co-Authors Anggraini Puspita Sari Firmantara, Wahyu Siharta, Niken Febrinikmah