Analisis Sentimen Pengguna Twitter Terhadap Sea Games 2023 Menggunakan Klasifikasi K-Nearest Neighbor (K-NN) Dengan Perbandingan Metode Data Balancing Smote, Tomek Link, Smote-Tomek Link

Paska, Patricia Dian (2024) Analisis Sentimen Pengguna Twitter Terhadap Sea Games 2023 Menggunakan Klasifikasi K-Nearest Neighbor (K-NN) Dengan Perbandingan Metode Data Balancing Smote, Tomek Link, Smote-Tomek Link. Skripsi thesis, Sanata Dharma University.

[img] Text (Full)
205314162_full.pdf
Restricted to Registered users only
Download (2MB)
[img] Text (Abstract)
205314162.pdf
Download (158kB)
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: 17 Jul 2024 03:32
Last Modified: 17 Jul 2024 03:32
URI: http://repository.usd.ac.id/id/eprint/51058

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.