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Syntactic- and morphology-based text augmentation framework for Arabic sentiment analysis
Arabic language is a challenging language for automatic processing. This is due to several intrinsic reasons such as Arabic multi-dialects, ambiguous syntax, syntactical flexibility and diacritics. Machine learning and deep learning frameworks require big datasets for training to ensure accurate pre...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8049132/ https://www.ncbi.nlm.nih.gov/pubmed/33954245 http://dx.doi.org/10.7717/peerj-cs.469 |