Komparasi Algoritma Naïve Bayes dan Logistic Regression Untuk Analisis Sentimen Metaverse
B Ramadhani, RR Suryono - JURNAL MEDIA INFORMATIKA …, 2024 - stmik-budidarma.ac.id
Abstrak− Transformasi digital membuat dunia berubah dengan cepat, terutama pada
perkembangan teknologi metaverse. Perkembangan teknologi metaverse mendapatkan …
perkembangan teknologi metaverse. Perkembangan teknologi metaverse mendapatkan …
Sentiment analysis of COVID-19 vaccine in Indonesia using Naïve Bayes Algorithm
Pristiyono, M Ritonga, MAA Ihsan… - IOP Conference …, 2021 - iopscience.iop.org
Abstract As of January 2021, with 2,066,175 deaths, 95,612,831 confirmed cases have been
reported globally. Indonesia's COVID-19 Task Force report shows that there are currently …
reported globally. Indonesia's COVID-19 Task Force report shows that there are currently …
[HTML][HTML] New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning
Abstract Peer-to-peer (P2P) Lending is a type of financial innovation that offers loans without
intermediaries to individuals and companies. In the P2P lending system, there is a risk of …
intermediaries to individuals and companies. In the P2P lending system, there is a risk of …
Accuracy of Malaysia Public Response to Economic Factors During the Covid-19 Pandemic Using Vader and Random Forest
This study conducted a sentiment analysis of the impact of the Covid-19 pandemic in the
economic sector on people's lives through social media Twitter. The analysis was carried out …
economic sector on people's lives through social media Twitter. The analysis was carried out …
Topic modelling and sentiment analysis of global warming tweets: evidence from big data analysis
F Qiao, J Williams - Journal of Organizational and End User …, 2022 - igi-global.com
With the increasing extreme weather events and various disasters, people are paying more
attention to environmental issues than ever, particularly global warming. Public debate on it …
attention to environmental issues than ever, particularly global warming. Public debate on it …
[PDF][PDF] Company bankruptcy prediction framework based on the most influential features using XGBoost and stacking ensemble learning
Company bankruptcy is often a very big problem for companies. The impact of bankruptcy
can cause losses to elements of the company such as owners, investors, employees, and …
can cause losses to elements of the company such as owners, investors, employees, and …
[PDF][PDF] Comparison of LSTM, SVM, and naive bayes for classifying sexual harassment tweets
Twitter is now a very open and extensive social media; anyone can freely express their
opinion on any topic on social media. The content or discussion on Twitter is also quite …
opinion on any topic on social media. The content or discussion on Twitter is also quite …
“The algorithm will screw you”: Blame, social actors and the 2020 A Level results algorithm on Twitter
In August 2020, the UK government and regulation body Ofqual replaced school
examinations with automatically computed A Level grades in England and Wales. This …
examinations with automatically computed A Level grades in England and Wales. This …
Sentimental wildfire: a social-physics machine learning model for wildfire nowcasting
The intensity of wildfires and wildfire season length is increasing due to climate change,
causing a greater threat to the local population. Much of this population are increasingly …
causing a greater threat to the local population. Much of this population are increasingly …
[HTML][HTML] An innovative model fusion algorithm to improve the recall rate of peer-to-peer lending default customers
Z Liu, Z Zhang, H Yang, G Wang, Z Xu - Intelligent Systems with …, 2023 - Elsevier
Abstract Peer-to-peer (P2P) lending is a fintech innovation that provides loans to individuals
and businesses without the need for additional intermediaries. However, if the borrower fails …
and businesses without the need for additional intermediaries. However, if the borrower fails …