📅 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.