email-phishing-detection-vectorizer

TF-IDF Vectorizer for Email Phishing Detection

This is the TF-IDF vectorizer used to convert email text into numerical features for phishing detection.

🔍 How it Works

• Transforms preprocessed email text into sparse vectors
• Used by the SVM, Logistic Regression, and Naive Bayes models
• Trained on a combined dataset of phishing and legitimate emails

📌 Important

Before applying this vectorizer:

1. Merge fields like sender, subject, body, etc.
2. Preprocess text: lowercase, remove stopwords, punctuation, and lemmatize
3. Then pass to this vectorizer

🔗 Related Model

This vectorizer was used to train:
emreotu/email-phishing-svm

Author

Emre Otu

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license: mit language:

• en tags:
• phishing
• cybersecurity
• tfidf
• email
• sklearn
• vectorizer model-index:
• name: TF-IDF Vectorizer results: []

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