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cloudsentimen-gojek
sahikjaman/cloudsentimen-gojek
cloudsentimen-gojek is a text classification model from sahikjaman. Use it when you need a label for a piece of text. The card lists the license as mit.
Model klasifikasi sentimen (positif/netral/negatif) ulasan Gojek di Google Play Store, hasil fine-tuning indobenchmark/indobert-base-p1. Bagian dari proyek mata kuliah Komputasi Awan, FTMM Universitas Airlangga (NIM 1…
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At a glance
- Task
- Text Classification
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jun 21, 2026
- Updated
- Jun 26, 2026
- SHA
- 0950da6a
Base models
Model card
From the Hugging Face model README
sahikjaman/cloudsentimen-gojek
Model klasifikasi sentimen (positif/netral/negatif) ulasan Gojek di Google Play Store,
hasil fine-tuning indobenchmark/indobert-base-p1. Bagian dari proyek mata kuliah Komputasi Awan,
FTMM Universitas Airlangga (NIM 163221024).
Cara pakai
from transformers import pipeline
clf = pipeline("text-classification", model="sahikjaman/cloudsentimen-gojek")
clf("aplikasi sering error saldo hilang")
Data & label
- Sumber: ulasan publik Google Play (
google-play-scraper). - Label weak-supervised dari rating: 4–5 → positif, 3 → netral, 1–2 → negatif.
- Keterbatasan: label berasal dari rating, bukan anotasi manual; kelas netral minoritas.
Preprocessing (WAJIB saat inference)
Teks dibersihkan identik dengan training (lowercase, hapus URL/emoji/tanda baca,
normalisasi slang, stopword Sastrawi). Lihat cloudsentimen.preprocess.clean_for_inference.
- Task
- Text Classification
- Type
- bert
- License
- mit
- Languages
- id
- Created
- Jun 21, 2026
- Updated
- Jun 26, 2026