Forecasting news sentiment-oriented stock market based on sequential transfer learning approach
Forecasting stock movements is a significant and challenging task due to the dynamic and high variability of market attributes. The massively available online text information holds the key to reveal the unexplained variability and facilitate the forecasting accuracy. However, text data is largely u...
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2023
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| Online Access: | http://eprints.utar.edu.my/6129/1/MBA_2023_BKT.pdf http://eprints.utar.edu.my/6129/ |
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