Work

Comparison Performance of SVM, Naïve Bayes and XGBoost Classifier on Climate Change Issue

Year: 2024

Type: conference-paper

Source: International Seminar on Application for Technology of Information and Communication (iSemantic)

DOI: 10.1109/isemantic63362.2024.10762214

Authors: Khusman Anhsori, Guruh Fajar Shidik

Institution: Universitas Dian Nuswantoro

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

OpenAlex ID: W4405634355

FWCI: 0.317

Cites:

Cited by: 1

Related to: 10