📅 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.
Tags
- Data Analysis
- Blog Classification
- AI
- Automation
- Content Strategy