User Complaint Dataset of Indonesian E-Wallet Applications from Google Play Store (ShopeePay, OVO, GoPay, DANA, LinkAja)

This dataset contains user reviews collected from Google Play Store for five major electronic wallet (e-wallet) applications in Indonesia: ShopeePay, OVO, GoPay, DANA, and LinkAja, gathered using Python-based web scraping techniques and processed through a natural language processing (NLP) pipeline for unsupervised topic modeling research. Three files are included: (1) all_reviews_raw.csv, containing raw review text, star rating (1–3), timestamp, and application name with a total of 4,607 valid reviews in Indonesian language; (2) reviews_preprocessed.csv, the cleaned and preprocessed version including tokenization, slang normalization, stop word removal using the Sastrawi library, and stemming; and (3) reviews_with_topics.csv, the final dataset with dominant topic assignment per review resulting from Latent Dirichlet Allocation (LDA) topic modeling combined with IndoBERT contextual embeddings.