Analisis Sentimen Masyarakat Terhadap Indonesia Vs Uzbekistan Menggunakan Smote (Synthetic Minority Over-sampling Technique)  Dan Knn (K-Nearest Neighbor)

Ade  Rocky Saputra; Muhammad Anugrah  Hakiki; Hafiz Irsyad

Authors

Ade Rocky Saputra Universitas Multi Data Palembang
Muhammad Anugrah Hakiki Universitas Multi Data Palembang
Hafiz Irsyad Universitas Multi Data Palembang

Keywords:

Football, KNN, Sentiment Analysis, SMOTE, ANALISIS SENTIMEN

Abstract

Football is one of the most popular sports in the world, including in Indonesia. The match between Indonesia and Uzbekistan in the AFC U-23 Championship attracted widespread public attention. This study aims to analyze public sentiment towards the match using the Synthetic Minority Over-sampling Technique (SMOTE) and the K-Nearest Neighbor (KNN) algorithm. The study also examines the impact of SMOTE implementation on the performance of the sentiment classification model. The results indicate that the application of SMOTE led to a decrease in the performance of the KNN model, with a 10% reduction in accuracy, a 16% reduction in precision, a 3% reduction in recall, and an 11% reduction in F1-Score. Additionally, sentiment analysis revealed that the majority of public sentiment towards the match outcome was negative.

Kata Kunci: Sentiment Analysis; KNN; SMOTE; Sentimen; Football

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