📅 2024-10-02 — Session: Developed data ingestion pipeline with keyword extraction
🕒 03:35–04:10
🏷️ Labels: Data Ingestion, Keyword Extraction, Classification, Automation, Sqlite
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop a data ingestion pipeline integrating keyword extraction and classification to organize data from various sources like RSS feeds and emails.
Key Activities
- Developed a
NewsDataCollectorto parse news into a SQLite database. - Planned and executed steps for keyword extraction and classification layers.
- Designed a triage system for data classification, defining categories and routing data based on document types and keywords.
- Outlined an email processing system to detect new messages and perform triage to extract metadata.
- Addressed a query timeout issue during email processing, suggesting alternative approaches for loading emails.
- Provided Python code for loading email data from a SQLite database into a Pandas DataFrame for analysis.
Achievements
- Successfully integrated keyword extraction and classification into the data ingestion pipeline.
- Developed a structured approach for data triage and email processing.
- Resolved technical issues related to query timeouts during email processing.
Pending Tasks
- Enhance data handling workflows for better performance and efficiency.
- Further development of keyword extraction and classification layers.
- Optimization of the email processing system to handle larger datasets efficiently.