Agricultural Text Classification Method Based on Dynamic Fusion of Multiple Features-Reference-Cited by-同舟云学术

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Agricultural Text Classification Method Based on Dynamic Fusion of Multiple Features

Published:2023 Issue: Volume:11 Page:27034-27042
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Li Yancui¹^ORCID,Zhang Shunli²,Lai Chunxiao³

Affiliation:

1. College of Computer and Information Engineering, Henan Normal University, Xinxiang, China

2. Department of Information Engineering, Henan Institute of Science and Technology, Xinxiang, China

3. School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China

Funder

Ministry of Education Research of Social Sciences Youth Funded Projects

Science and Technology Project of Henan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10061205.pdf?arnumber=10061205

Reference29 articles.

1. Attention-based BiLSTM fused CNN with gating mechanism model for Chinese long text classification

2. A survey on deep learning for natural language processing;xue-feng;Acta Autom Sinica,2016

3. Convolutional Neural Networks for Sentence Classification

4. Chinese text classification based on attention mechanism and feature-enhanced fusion neural network

5. DEEP LEARNING FOR REMOTE SENSING IMAGE CLASSIFICATION FOR AGRICULTURE APPLICATIONS

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