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TextConvoNet: a convolutional neural network based architecture for text classification
This paper presents, TextConvoNet, a novel Convolutional Neural Network (CNN) based architecture for binary and multi-class text classification problems. Most of the existing CNN-based models use one-dimensional convolving filters, where each filter specializes in extracting n-grams features of a pa...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589611/ https://www.ncbi.nlm.nih.gov/pubmed/36310755 http://dx.doi.org/10.1007/s10489-022-04221-9 |