UTILIZATION OF INDOBERT FOR SENTIMENT CLASSIFICATION OF STOCK NEWS AND CORRELATION ANALYSIS WITH PRICE MOVEMENTS ON THE INDONESIA STOCK EXCHANGE
This study aims to classify stock news sentiment using the IndoBERT model and analyze its correlation with stock price movements on the Indonesia Stock Exchange. The data used was collected through web scraping from news portals such as Emiten News, Liputan6, and Detik.com, comprising 2,857 stock...
Saved in:
| Main Author: | |
|---|---|
| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/82436 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |