Ini adalah tugas akhir dari mata kuliah Deep Learning. Proyek ini tentang menganalisa sentimen (kalimat atau kata) apakah termasuk dalam kategori positif, negatif, atau netral, serta persentasenya. Anda juga bisa mengupload file CSV untuk menentukan presentase sentimen dalam file yang diupload.
active 2025-01-01 → 2025-01-01 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2025-01-01 to 2025-01-01. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
Nobody pushed, opened or commented here in the loaded window — this repo's activity is stars and forks only.
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.