Improving Turkish Text Sentiment Classification Through Task-Specific and Universal Transformations: An Ensemble Data Augmentation Approach
The exponential growth of digital data in recent years has spurred a significant interest in natural language processing (NLP) and sentiment analysis. However, the effectiveness of NLP models heavily relies on the availability of large, annotated datasets, which are often scarce or entirely absent f...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10380566/ |
