📅 2025-02-17 — Session: Optimized Email Metadata Extraction Pipeline
🕒 12:50–13:50
🏷️ Labels: Email, Metadata, Python, Graph Analysis, Spider Api
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to optimize and document the email metadata extraction pipeline, focusing on efficiency and modular design.
Key Activities
- Developed a modular Python pipeline for extracting, analyzing, and storing email metadata from an MBOX file.
- Conducted graph analysis and generated insights from the extracted data.
- Documented the process and outlined next steps for further analysis and automation.
Achievements
- Successfully optimized the email metadata extraction process.
- Enhanced the pipeline with graph analysis capabilities.
- Generated actionable insights from the data.
Pending Tasks
- Further automation of the analysis process.
- Exploration of additional insights that can be derived from the metadata.
Additional Activities
- Utilized Spider API for thematic crawling to gather information about institutions, including setup, authentication, crawling procedures, data extraction, and handling authenticated pages.
- Conducted a crawling analysis of the ICC website, summarizing key observations about site structure, recent news, academic achievements, and potential uses for monitoring and analysis.