📅 2024-10-05 — Session: Developed Email Categorization System

🕒 23:40–00:00
🏷️ Labels: Email Categorization, NLP, Machine Learning, Data Extraction, Feature Engineering
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to develop an email categorization system using machine learning techniques, focusing on natural language processing (NLP) and classification algorithms.

Key Activities

  • Planned the creation of a machine learning-based email categorization system using manually labeled examples as training data.
  • Enhanced classifier performance by addressing dataset limitations, increasing training examples, balancing categories, and improving feature extraction methods.
  • Extracted data from HTML files to prepare for machine learning, focusing on subjects and content.
  • Combined email features, such as subject lines and content, for a comprehensive input to the classification model.
  • Extracted email data from HTML files and organized it into a pandas DataFrame for further processing.

Achievements

  • Established a framework for email categorization using NLP and classification algorithms.
  • Improved the dataset for better classifier performance.
  • Successfully extracted and organized data from HTML files, ready for machine learning applications.

Pending Tasks

  • Confirm the correct directory path or upload the necessary files for data processing.