A Robust Model for Effective Spam Detection Based on ALBERT-Reference-Cited by-同舟云学术

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A Robust Model for Effective Spam Detection Based on ALBERT

Published:2023-12-07 Issue: Volume:3 Page:1-6
ISSN:
Container-title:2023 6th International Conference on Electrical Information and Communication Technology (EICT)
language:
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Author:

Abdal Md. Nazmul¹,Oshie Most. Humayera Kabir²,Haque Md. Azizul¹,Rahman Sumaya³

Affiliation:

1. Khulna University,Computer Science and Engineering Discipline,Khulna,Bangladesh,9208

2. Jahangirnagar University,Department of Computer Science and Engineering,Savar,Bangladesh,1342

3. Pundra University of Science & Technology,Department of Computer Science and Engineering,Gokul,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10426791/10427566/10427948.pdf?arnumber=10427948

Reference30 articles.

1. A Spam Transformer Model for SMS Spam Detection

2. Spam Detection Using BERT;Sahmoud;ArXiv,2022

3. Spam Email Detection Using Machine Learning Integrated In Cloud

4. Optimizing semantic LSTM for spam detection

5. Email spam detection using gated recurrent neural network;Mani;International Journal of Prograssive Research in Engineering Management and Science (IJPREMS)

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