Salsabila, Aprilia (2024) Analisis Sentimen Ulasan Aplikasi ChatGPT Pada Google Play Menggunakan Metode Support Vector Machine. Progresif: Jurnal Ilmiah Komputer, Vol. (No. 2). pp. 714-723. ISSN e-ISSN: 2685-0877 p-ISSN: 0216-3284
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Abstract
Currently, the usage of mobile applications is on the rise in the digital era, emphasizing the importance of understanding user satisfaction and dissatisfaction. This research aims to examine the sentiment expressed in user reviews of the ChatGPT application on Google Play using the Support Vector Machine (SVM) method. The research methods include collecting user review data, cleaning and preprocessing the data, labeling sentiments, conducting SVM analysis, and evaluating the results. The analysis reveals that the majority of user reviews for the ChatGPT application are positive, with some negative feedback. With an accuracy of 91% and a weighted F1-score of 90%, the SVM method demonstrates effective performance in classifying user review sentiments. This study provides valuable insights into user perceptions of the ChatGPT application, which can inform future enhancements in its quality and services. Furthermore, these findings underscore the potential of SVM in sentiment analysis for various mobile applications.
| Item Type: | Article |
|---|---|
| Additional Information: | Pembimbing: Muntahanah |
| Uncontrolled Keywords: | sentiment analysis; ChatGPT; Support Vector Machine |
| Subjects: | Universitas Muhammadiyah Bengkulu > 02-Fakultas Teknik > 55201-(S1) Teknik Informatika 02-Fakultas Teknik > 55201-(S1) Teknik Informatika |
| Divisions: | 02-Fakultas Teknik > 55201-(S1) Teknik Informatika Subjek Terkait > 02-Fakultas Teknik > 55201-(S1) Teknik Informatika |
| Depositing User: | Mrs Sarah Mentari Utama |
| Date Deposited: | 15 Mar 2025 04:04 |
| Last Modified: | 19 Mar 2025 03:48 |
| URI: | http://repository.umb.ac.id/id/eprint/832 |
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