Barus, Herianta (2026) {JALUR SCIENTIST} ANALISIS KLASIFIKASI SENTIMEN ULASAN TOKOPEDIA MENGGUNAKAN TF-IDF, SMOTE, DAN MODEL MACHINE LEARNING TRADISIONAL. S1 - Sarjana thesis, Universitas AMIKOM Yogyakarta.
![[img]](https://eprints.amikom.ac.id/style/images/fileicons/text.png) |
Text (COVER-ABSTRAK)
COVER.pdf - Published Version Download (495kB) |
|
Text (ISI)
ISI.pdf - Published Version Restricted to Registered users only Download (2MB) |
![[img]](https://eprints.amikom.ac.id/style/images/fileicons/archive.png) |
Archive (SOURCE CODE)
Sourcecode - 22.12.2343.zip - Published Version Restricted to Repository staff only Download (1MB) |
|
Text (PUBLIKASI)
Surat Pernyataan Publish di Luar.pdf - Updated Version Restricted to Repository staff only Download (411kB) |
| Item Type: | Thesis (S1 - Sarjana) | ||
|---|---|---|---|
| Contributor: |
|
||
| Uncontrolled Keywords: | Analisis Sentimen, Tokopedia, E-commerce, Naïve Bayes, Random Forest, Support Vector Machine (SVM), Logistic Regression, Decision Tree, TF-IDF, SMOTE, Sentiment Analysis. | ||
| Subjects: | 000 - Komputer, Informasi dan Referensi Umum > 000 Ilmu komputer, ilmu pengetahuan dan sistem-sistem > 000 Ilmu komputer, informasi dan pekerjaan umum | ||
| Divisions: | Fakultas Ilmu Komputer > Sistem Informasi | ||
| Depositing User: | RC Universitas AMIKOM Yogyakarta | ||
| Date Deposited: | 14 Jul 2026 02:09 | ||
| Last Modified: | 14 Jul 2026 02:09 | ||
| URI: | http://eprints.amikom.ac.id/id/eprint/32113 |
Actions (login required)
 |
View Item |