Perbandingan Metode TF-IDF dan Count Vectorization dalam Analisa Sentimen Pemindahan Ibu Kota Indonesia Menggunakan XGBosst

Sukmono, Herlambang Agung (2024) Perbandingan Metode TF-IDF dan Count Vectorization dalam Analisa Sentimen Pemindahan Ibu Kota Indonesia Menggunakan XGBosst. Skripsi thesis, Sanata Dharma University.

[img] Text (Full)
205314147_full.pdf
Restricted to Registered users only
Download (10MB)
[img] Text (Abstract)
205314147.pdf
Download (287kB)
Item Type: Thesis (Skripsi)
Subjects: T Technology > TB Information Technology
Divisions: Faculty of Science and Technology > Department of Informatics Engineering
Depositing User: Maria Yovita Qwartiti
Date Deposited: 19 May 2025 07:00
Last Modified: 19 May 2025 07:00
URI: http://repository.usd.ac.id/id/eprint/54249

Actions (login required)

View Item View Item
USD Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.