Skripsi

ANALISIS SENTIMEN ULASAN APLIKASI SPOTIFY DI GOOGLE PLAY STORE MENGGUNAKAN MODEL BIDIRECTIONAL ENCODER REPRESENTATIONS FROM TRANSFORMER (BERT)

---

Penilaian

---

Spotify, with 574 million active users and 226 million premium subscribers across 184 countries as of Q3 2023, represents a significant force in music streaming. While Google Play Store ratings provide initial app quality indicators, they fail to capture comprehensive user experiences. This research employs Bidirectional Encoder Representations from Transformers (BERT) to conduct sentiment analysis on 52,702 Spotify app reviews from Google Play Store, categorizing them as positive, negative. Eight scenario were tested, varying learning rates (2e-5 and 2e-6) and epoch counts (5, 10, 15, and 20). Results demonstrate optimal performance with 92.92% accuracy using a 2e-6 learning rate and 10 epochs, confirming that appropriate hyperparameter selection creates stable models while preventing overfitting issues.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2507002523	T172359	T1723592025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T1723592025

Publisher

Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025

Collation

xviii, 125 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

-

Classification

004.07

Content Type

Text

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Teknik Informatika

Specific Detail Info

-

Statement of Responsibility

MI

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment