A spam email chacking system using the Complement-Naive-Bayes algorithm on SpamAssassin datasets
-
Updated
Jun 27, 2021 - Jupyter Notebook
A spam email chacking system using the Complement-Naive-Bayes algorithm on SpamAssassin datasets
Train JOSA (Jopara Sentiment Analysis) corpus with traditional machine learning algorithms.
Evaluation of various ML models for text using NLP driven approach for imbalanced data while balancing data using over and under sampling technique.
Add a description, image, and links to the complement-naive-bayes topic page so that developers can more easily learn about it.
To associate your repository with the complement-naive-bayes topic, visit your repo's landing page and select "manage topics."