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 …
[HTML][HTML] Enhancing sentiment classification performance using hybrid query expansion ranking and binary particle swarm optimization with adaptive inertia weights
Abstract Machine learning-based sentiment classification is the best-performing method to
understand public sentiment. However, the method has some problems, such as noisy …
understand public sentiment. However, the method has some problems, such as noisy …
Public opinion analysis of presidential candidate using Naïve Bayes method
Elections for president and vice president will take place in 2024. Heading into the election,
promoted candidates were vying for public sympathy. People often discussed as …
promoted candidates were vying for public sympathy. People often discussed as …
Sentiment Analysis of League of Legends: Wild Rift Reviews on Google Play Using Naã Ve Bayes Classifier
K Khadijah, N Sabilly, FA Nugroho - Jurnal Ilmiah Kursor, 2023 - kursorjournal.org
Abstract League of Legends: Wild Rift is a mobile game with more than 48 million
downloads worldwide. The game publishers could earn profit from selling item in the game …
downloads worldwide. The game publishers could earn profit from selling item in the game …
Content-based filtering using cosine similarity algorithm for alternative selection on training programs
MF Abdurrafi, DHU Ningsih - Journal of Soft Computing …, 2023 - shmpublisher.com
The large selection of training programs provided by the Ministry of Manpower of the
Republic of Indonesia makes it difficult for prospective trainees to choose a training program …
Republic of Indonesia makes it difficult for prospective trainees to choose a training program …
Enhancing Sentiment Analysis using Machine Learning Predictive Models to Analyze Social Media Reviews on Junk Food
In the last few years, the Use of social media has increased immensely. People share
different types of opinions on social media like Facebook posts, comments, tweets etc …
different types of opinions on social media like Facebook posts, comments, tweets etc …
A malay language cyberbullying detection model on twitter using supervised machine learning
NFB Johari, J Jaafar - 2022 International Visualization …, 2022 - ieeexplore.ieee.org
This research detects cyberbullying for the Malay language using supervised machine
learning (ML) and Natural Language Processing (NLP). Due to the high number of …
learning (ML) and Natural Language Processing (NLP). Due to the high number of …
A combination of query expansion ranking and ga-svm for improving indonesian sentiment classification performance
The sentiment classification method is a research field that is proliferating in Indonesia since
it is fast in extracting public opinion and provides essential and valuable information for …
it is fast in extracting public opinion and provides essential and valuable information for …
Employee Attrition and Performance Prediction using Univariate ROC feature selection and Random Forest
A Nurhindarto, EW Andriansyah, F Alzami… - Kinetik: Game …, 2021 - kinetik.umm.ac.id
Each company applies a contract extension to assess the performance of its employees.
Employees with good performance in the company are entitled to future contracts within a …
Employees with good performance in the company are entitled to future contracts within a …
Development of extraction features for Detecting Adolescent Personality with Machine Learning Algorithms
This study aims to develop a Natural Language Processing (NLP)-based feature extraction
algorithm optimized for personality type classification in adolescents. The algorithm used is …
algorithm optimized for personality type classification in adolescents. The algorithm used is …