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...
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| 主要作者: | |
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| 格式: | Final Project |
| 語言: | Indonesia |
| 在線閱讀: | https://digilib.itb.ac.id/gdl/view/82436 |
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| 機構: | Institut Teknologi Bandung |
| 語言: | Indonesia |