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Context-Aware Spam Detection Using BERT Embeddings with Multi-Window CNNs

Sajid Ali Qazi Mazhar Ul Haq Ala Saleh Alluhaidan Muhammad Shahid Anwar Sadique Ahmad Leila Jamel

Computer Modeling in Engineering & Sciences2026，Vol.146Issue(1)：P.1296-1310,15.

Computer Modeling in Engineering & Sciences2026，Vol.146Issue(1)：P.1296-1310,15.DOI:10.32604/cmes.2026.074395

Context-Aware Spam Detection Using BERT Embeddings with Multi-Window CNNs

Sajid Ali ¹Qazi Mazhar Ul Haq ²Ala Saleh Alluhaidan ³Muhammad Shahid Anwar ⁴Sadique Ahmad ⁵Leila Jamel³

作者信息

1. Department of Computer Science and Engineering,Yuan Ze University,Zhongli,Taiwan
2. Department of Computer Science and Engineering,Yuan Ze University,Zhongli,Taiwan Department of International Bachelor Program in Informatics,Yuan Ze University,Zhongli,Taiwan
3. Department of Information Systems,College of Computer and Information Sciences,Princess Nourah bint Abdulrahman University,P.O.Box 84428,Riyadh,Saudi Arabia
4. IRC for Finance and Digital Economy,King Fahd University of Petroleum and Minerals,Dhahran,Saudi Arabia
5. EIAS Data Science&Blockchain Laboratory,College of Computer and Information Science,Prince Sultan University,Riyadh,Saudi Arabia
折叠

摘要

关键词

E-mail spam detection/BERT embedding/text classification/cybersecurity/CNN

分类

信息技术与安全科学

引用本文复制引用

Sajid Ali,Qazi Mazhar Ul Haq,Ala Saleh Alluhaidan,Muhammad Shahid Anwar,Sadique Ahmad,Leila Jamel..Context-Aware Spam Detection Using BERT Embeddings with Multi-Window CNNs[J].Computer Modeling in Engineering & Sciences,2026,146(1):P.1296-1310,15.

基金项目

funded by Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2026R234) （PNURSP2026R234）

Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia. （）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

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