Multi-Scale Feature Fusion Quantum Depthwise Convolutional Neural Networks for Text Classification

Text classification is an important and widely studied task in natural language processing (NLP), with extensive applications such as sentiment analysis, topic classification, spam detection, and intent recognition.

Data and Resources

Cite this as

Yixiong Chen, Weichuan Fang (2024). Dataset: Multi-Scale Feature Fusion Quantum Depthwise Convolutional Neural Networks for Text Classification. https://doi.org/10.57702/mriz3pzk

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2405.13515
Author Yixiong Chen
More Authors
Weichuan Fang