Jul 10, 2020 · The paper aims to present a Spam Detection system by a Content Analysis based on Machine Leaning. The system is composed of six units: ...
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A Spam Detection system by a Content Analysis based on Machine Leaning, composed of six units: Tokenization and Cleaning words, Lemmatization, Stopping Word ...
Nov 21, 2024 · The paper aims to present a Spam Detection system by a Content Analysis based on Machine Leaning. The system is composed of six units: ...
Dec 28, 2023 · This paper aims to provide results of empirical experiments on the accuracy of different machine learning algorithms for detecting spam ...
May 10, 2024 · This study aims to identify and review existing state-of-the-art methodologies for three groups: 1) spam reviews; 2) individual spammers; and 3) group spam.
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Spam Detection by Machine Learning-Based Content Analysis. https://doi.org/10.1007/978-981-15-5093-5_37. Journal: Smart Innovation, Systems and Technologies ...
May 20, 2024 · By incorporating features such as sender information, email content, and subject analysis, our system achieves a high level of accuracy.
... spam detection. Insights from feature analysis show that specific web address characteristics are crucial in phishing detection, while email content drives spam ...
This research places particular emphasis on scrutinizing email headers and extracting crucial data, such as HOP count and IP address, using a Python script.
Oct 22, 2024 · The main idea behind this project is to design a spam detection system. The system will be enabled to analyze the content of emails, in ...