A Content-Based Chinese Spam Detection Method Using a Capsule Network With Long-Short Attention

Author:

Tong XinORCID,Wang JingyaORCID,Zhang Changlin,Wang RunzhengORCID,Ge Zhilin,Liu Wenmao,Zhao Zhiyan

Funder

Key Research and Development and promotion projects in Henan Province of China

National Social Science Fund of China

2020CCF-Nsfocus Kunpeng Research Fund

Open Research Fund of the Public Security Behavioral Science Laboratory, People’s Public Security University of China

Special Funds for Fundamental Scientific Research Operation Fees of Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

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1. Chinese Fraudulent Text Message Detection Based on Graph Neural Networks;2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE);2024-05-10

2. A Robust Model for Effective Spam Detection Based on ALBERT;2023 6th International Conference on Electrical Information and Communication Technology (EICT);2023-12-07

3. A Review on Artificial Intelligence Techniques for Multilingual SMS Spam Detection;Lecture Notes in Electrical Engineering;2023-12-02

4. Machine learning methods for speech emotion recognition on telecommunication systems;Journal of Computer Virology and Hacking Techniques;2023-09-16

5. Machine Learning Models for Email Spam Detection: A Review;2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon);2023-08-18

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