Implementing Naive Bayes for Email Spam Classification
Reading Email Dataset
The first step in our spam classification task is to load the email dataset. We'll use Python's csv module to read the SMSSpamCollection file which contains labeled SMS messages.
import csv
def load_sms_dataset(file_path):
"""
Load SMS dataset from a tab-separated file
Returns: tuple of (labels, messages)
...
Posted on Sun, 10 May 2026 14:09:15 +0000 by Saphod
Implementing a Naive Bayes Classifier for Email Spam Filtering
Spam filtering systems often utilize a bag-of-words model, where each word's frequency in a document is considered, allowing for multiple occurrences.
1. Data Preparasion: Text Segmentation
Previous examples used pre-defined word vectors. Here's how to build a word list from raw text documents.
Consider the following Python session:
>>> ...
Posted on Fri, 08 May 2026 21:15:24 +0000 by hairyjim