SpamShield - MCA Project
Intelligent Spam Email Classification System
A sophisticated Machine Learning solution designed to filter and categorize unsolicited communications using Natural Language Processing (NLP) and Naive Bayes architecture.
Preprocessing Pipeline
Advanced tokenization, punctuation removal, and Porter Stemming for efficient feature reduction.
TF-IDF Vectorization
Numerical representation of text using Term Frequency-Inverse Document Frequency metrics.
Naive Bayes Analysis
Probability-based classification optimized for high-dimensional textual feature spaces.