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Performance analysis of aspect-level sentiment classification task based on different deep learning models
Aspect-level sentiment classification task (ASCT) is a natural language processing task that aims to correctly identify specific aspects and determine their sentiment polarity from a given target sentence. Deep learning models have been proven to be effective in aspect-based sentiment classification...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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PeerJ Inc.
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588683/ https://www.ncbi.nlm.nih.gov/pubmed/37869455 http://dx.doi.org/10.7717/peerj-cs.1578 |