📅 2025-03-05 — Session: Data Source Overlap Analysis and Blog Content Classification

🕒 00:55–06:10
🏷️ Labels: Data Analysis, Blog Classification, AI, Automation, Content Strategy
📂 Project: SEO
⭐ Priority: MEDIUM

Session Goal

The session aimed to diagnose overlaps across various data sources and to classify blog content into established categories.

Key Activities

  • Conducted an analysis of overlaps across data sources, focusing on student and faculty engagement and electoral participation.
  • Classified blog ideas and topics into eight established categories, covering areas such as AI, data science, automation, web scraping, and more.
  • Planned next steps for blog series organization, including content strategy refinement and workflow automation.

Achievements

  • Identified significant patterns in data overlaps and provided recommendations for improving data categorization and validation.
  • Successfully classified a comprehensive list of blog ideas and topics into relevant categories, facilitating better content management.

Pending Tasks

  • Implement recommendations for data categorization improvements.
  • Initiate writing sessions and refine content strategy for the blog series.

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