Financial sentiment analysis for pre-trained language models incorporating dictionary knowledge and neutral features
With increasing financial market complexity, accurate sentiment analysis of financial texts has become crucial. Traditional methods often misinterpret financial terminology and show high error rates in neutral sentiment recognition. This study aims to improve financial sentiment analysis accuracy th...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Natural Language Processing Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S294971912500024X |
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