A Review on Various Techniques for Spam Detection

Spam has become a major Internet and electronic communication problem in recent years. Many techniques have been developed to combat them. This paper provides an overview of the current method of revision of spam filtering. The classification of conventional and learning methods, evaluation and corr...

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Bibliographic Details
Published in2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) pp. 1771 - 1775
Main Authors Kawale, Nitesh J., Sait, Saad Yunus
Format Conference Proceeding
LanguageEnglish
Published IEEE 25.03.2021
Subjects
Classification
Fake Review Detection
Filtering
Learning (artificial intelligence)
Learning Base Methods
Learning systems
Machine Learning
Postal services
Servers
Spam Filtering
Tuning
Unsolicited e-mail
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Summary:Spam has become a major Internet and electronic communication problem in recent years. Many techniques have been developed to combat them. This paper provides an overview of the current method of revision of spam filtering. The classification of conventional and learning methods, evaluation and correlation are provided. Some personal enemies are tested and compared fo r spam articles. The statement for a new spam filtering methodology is taken into account.
DOI:10.1109/ICAIS50930.2021.9395979