Work

A Sentiment-Augmented Machine Learning Approach to Forecasting IHSG Prices Using XGBoost

Year: 2025

Type: conference-paper

Source: International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS)

DOI: 10.1109/icadeis65852.2025.10933440

Authors: Muhammad Rizki Wiratama, Narita Aquarini, Putu Harry Gunawan

Institutions: Telkom University, Université de Poitiers

Language: English

Topic: Stock Market Forecasting Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W4408861869

FWCI: 2.384

Cites: 18

Cited by: 1

Related to: 10