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primary topic: (JOSH - S4) - Andriani, Hasan [2025-07-31]

(JOSH - S4) - Andriani, Hasan [2025-07-31]
type: AcademicArticle
type: Article
abstract: his study aims to conduct sentiment analysis on user reviews of the Riliv: Mental Health App on Google Play Store using the Support Vector Machine (SVM) algorithm. The analysis process includes review data collection via web scraping, text cleaning using text preprocessing, automatic labeling based on rating scores, data transformation using the TF-IDF method, data splitting with Stratified K-Fold Cross Validation, SVM model training, and performance evaluation. The dataset comprises 2,000 reviews with an imbalanced label distribution: positive (75,3%), netral (5,3%), and negative (19,4%). The classification results show that the SVM model achieved an accuracy of 85.56%. It performed well in identifying positive sentiment with an f1-score of 0.96 and negative sentiment with 0.69. However, the model failed to classify neutral sentiment due to the small number of data, which was insufficient for meaningful pattern recognition. Evaluation and visualization results indicate that label imbalance is a major challenge. Therefore, additional strategies such as data balancing, class weighting, or the use of alternative algorithms are necessary. This research is expected to serve as a foundation for developing a more accurate and fair sentiment analysis system across all sentiment categories in the context of digital mental health services.
date: 2025-07-31
volume: 6
issue: 4
is part of: Analisis Sentiment Ulasan Aplikasi Riliv di Google Playstore dengan Algoritma SVM
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository
has document: (JOSH - S4) - Andriani, Hasan [2025-07-31] (Text)
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subject: T Technology (General)

(JOSH - S4) - Andriani, Hasan [2025-07-31] (Text)
type: Document
has file: 1. Cover.pdf
has part: 1. Cover.pdf

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type: Document
has file: 2. Editorial Team.pdf
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type: Document
has file: 3. Daftar Isi.pdf
has part: 3. Daftar Isi.pdf

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type: Document
has file: 4. Artikel.pdf
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type: Document
has file: 5. Bukti Hasil Turnitin.pdf
has part: 5. Bukti Hasil Turnitin.pdf

(JOSH - S4) - Andriani, Hasan [2025-07-31] (Text)
type: Document
has file: 6. LOA - Andriani, Hasan.pdf
has part: 6. LOA - Andriani, Hasan.pdf

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type: Document
has file: Bukti Korespondensi - 1.jpeg
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Forum Kerjasama Pendidikan Tinggi (FKPT)
type: Organization

Analisis Sentiment Ulasan Aplikasi Riliv di Google Playstore dengan Algoritma SVM
type: Collection
issn: 2686228X

Firman Noor Hasan
type: Person
given name: Firman Noor
family name: Hasan

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primary topic: (JOSH - S4) - Andriani, Hasan [2025-07-31]

T Technology (General)
type: Concept