📅 2024-10-05 — Session: Developed Email Categorization System with NLP
🕒 23:40–00:00
🏷️ Labels: Email Categorization, Machine Learning, NLP, Data Extraction, Feature Engineering
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop a machine learning-based email categorization system using NLP techniques and classification algorithms.
Key Activities
- Planning: Outlined a framework for creating an email categorization system using manually labeled examples as training data.
- Classifier Optimization: Discussed strategies to enhance classifier performance by addressing dataset limitations, such as increasing training examples and improving feature extraction methods.
- Data Extraction: Developed a workflow to extract subjects and content from HTML files, preparing the data for machine learning.
- Feature Engineering: Proposed combining email subject lines and content as features for a classification model.
Achievements
- Established a plan for the email categorization system leveraging NLP and machine learning.
- Developed a structured approach for data extraction from HTML files.
- Proposed methods for feature engineering to improve model input.
Pending Tasks
- Confirm the directory path or upload necessary files for data extraction.
- Implement the proposed strategies for classifier optimization and feature engineering.