Classification of multiple emotions in Indonesian text using the k-nearest neighbor method
Emotions are expressions manifested by individuals in response to what they see or
experience. In this study, emotions were examined through individuals' tweets regarding the …
experience. In this study, emotions were examined through individuals' tweets regarding the …
Sentiment Analysis for Online Learning using The Lexicon-Based Method and The Support Vector Machine Algorithm
The pros and cons regarding online learning has been a hot topic in society, both on social
media and in the real world. Indonesian netizens still post opinions about online learning on …
media and in the real world. Indonesian netizens still post opinions about online learning on …
[PDF][PDF] Analysis of Twitter User Sentiment on Presidential Candidate Anies Baswedan Using Naïve Bayes Algorithm
R Setiawan, F Dewi - ILKOM Jurnal Ilmiah, 2023 - scholar.archive.org
Indonesian hold presidential election in 2024. One of the most discussed topics by public is
the presidential candidates. The discussion about the presidential candidate certainly …
the presidential candidates. The discussion about the presidential candidate certainly …
Sistem Prediksi Keuntungan Influencer Pengguna E-Commerce Shopee Affiliates menggunakan Metode Naïve Bayes
Shopee Affiliate is one of Shopee's e-commerce programs to make it easier to market
products. However, with the popularity of this program, there are still many people who do …
products. However, with the popularity of this program, there are still many people who do …
[PDF][PDF] Enhancing Accuracy by Using Boosting and Stacking Techniques on the Random Forest Algorithm on Data from Social Media X
Online loans (commonly referred to as Pinjol) have become a widespread phenomenon in
Indonesia, both in legal and illegal forms. It is undeniable that this is in line with the rapid …
Indonesia, both in legal and illegal forms. It is undeniable that this is in line with the rapid …
Enhancing Sentiment Analysis Performance Using SMOTE and Majority Voting in Machine Learning Algorithms
In the digital era, sentiment analysis on social media has become increasingly important in
understanding public perception of various issues. However, one of the main challenges in …
understanding public perception of various issues. However, one of the main challenges in …
Performance Improvement of Machine Learning Algorithm Using Ensemble Method on Text Mining
Ensembles are the concept of combining several algorithms into one. This concept is
expected to overcome the weaknesses of each model and create more accurate and stable …
expected to overcome the weaknesses of each model and create more accurate and stable …
Sentiment Classification on Mandalika MotoGP Event Using K-Means Clustering and Random Forest
KF Margolang, M Zarlis - Proceeding …, 2023 - prosiding-icostec.respati.ac.id
As one the most famous world-class motorcycle racing competition, MotoGP is an event
broadcast live on television with millions of viewers on each race. Indonesia, especially the …
broadcast live on television with millions of viewers on each race. Indonesia, especially the …
Enhancing Classification Performance: A Study on SMOTE and Ensemble Learning Techniques
This research focuses on improving the performance of classification algorithms by
employing the Synthetic Minority Over-sampling Technique (SMOTE) and ensemble …
employing the Synthetic Minority Over-sampling Technique (SMOTE) and ensemble …
PREDIKSI PERUBAHAN JUMLAH PENDUDUK DI KOTA PEKANBARU MENGGUNAKAN ALGORITMA NAIVE BAYES
A Efendi, A Siswanto… - ZONAsi: Jurnal Sistem …, 2024 - pustaka-psm.unilak.ac.id
Abstract Penelitian ini mengaplikasikan Algoritma Naive Bayes untuk memprediksi
perubahan jumlah penduduk di Kota Pekanbaru berdasarkan data historis dari tahun 1995 …
perubahan jumlah penduduk di Kota Pekanbaru berdasarkan data historis dari tahun 1995 …