A company wants to classify emails as either spam or not spam. What would be your approach to create a classification model for this problem?
- Ignore the email content; focus on sender details
- Use only email metadata
- Use text mining techniques to extract features; use suitable classification algorithm
- Use unsupervised learning
Extracting relevant features from the email content using text mining techniques and applying a suitable classification algorithm (e.g., Naive Bayes, SVM) would be an effective approach for spam email classification.
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