A text classification method by integrating mobile inverted residual bottleneck convolution networks and capsule networks with adaptive feature channels

A text classification method by integrating mobile inverted residual bottleneck convolution networks and capsule networks with adaptive feature channels

Abstract This study proposes a novel text classification model, MBConv-CapsNet, to address large-scale text data classification issues in the Internet era. Integrating the advantages of Mobile Inverted Bottleneck Convolutional Networks and Capsule Networks, this model comprehensively considers text...

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Bibliographic Details
Main Authors: Tao Jin, Jiaming Liu
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Text classification
MBConv
Capsule networks
SKNet
Dynamic routing
Online Access:https://doi.org/10.1038/s41598-025-85237-2
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https://doi.org/10.1038/s41598-025-85237-2

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