Selective Reading for Arabic Sentiment Analysis
This work introduces a novel deep learning method for Arabic sentiment analysis, arguing that reading the entire input sequence is not always necessary. Many texts can be accurately classified without processing all input tokens. The method employs a reinforcement learning agent that selects relevan...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10947753/ |
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