Automated Email Sorting System
Exploring how basic NLP and machine learning can take a repetitive task off someone’s hands.
The context
This project was a step from web applications into automation: using the content of an email to help determine where it belongs.
The problem
Sorting messages by hand is repetitive. Text classification offers a way to automate part of that workflow.
The work
- Automatic email categorization using basic NLP techniques.
- Simple machine-learning methods to improve classification.
- Work on performance with larger datasets.
The idea, mapped out
Email text
NLP & classification
Category
Sorted messages
CONCEPTUAL WORKFLOW
The engineering question
Balancing useful classification with performance as the amount of email data grows.
What I took away
I explored the connection between language, classification, and a practical automated workflow. Model-specific details and scores are not included here because they have not been documented for this portfolio.
What could come next
Future work could include clearer evaluation reporting and a review step for uncertain classifications.
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