Naive Bayes Spam Filter used in the lab works for "Software testing and validation" course in Polytechnique Montreal, where I was a TA. More information about the system can be found in the pdf file, which lab1 description. Here's a brief overview: Each module of the system is implemented in the separate python file. The main system modules are:
crud.py: module to achieve the functionality CRUD (Create Read Update Delete) for users and groups. User is represented by his e-mail address and the information he receives associated. Group is a collection of users.text_cleaner.py: module for cleaning and tokenization of the text.- Vocabulary creation: module to create vocabulary with frequency words found in spam and ham messages.
renege.py: module for processing new emails. Executed the logic of adding / updating information about users and groups.email_analyzer.py: module to calculate the probability that e-mail is spam or ham.main.py: main module to manage the system. Understand a spam detection accuracy evaluation function.
To run the system execute: python3 main.py