SayPro Review & Categorization Framework for GPT Output
Objective:
To systematically review GPT-generated content and categorize identified themes into SayPro’s core relevant sectors: Education, Healthcare, Technology, Administration, and Social Impact. This ensures that the output is organized for targeted analysis, editorial alignment, and strategic use across SayPro’s initiatives.
Step 1: Collect GPT Outputs
- Gather all submitted GPT prompts and generated content.
- Extract key themes and topic keywords from each output.
- Use natural language processing (NLP) tools if needed to identify dominant themes in large text batches.
Step 2: Define Sector Criteria
For accurate categorization, establish clear definitions for each SayPro sector:
- Education:
Topics related to teaching, learning, curriculum development, educational technology, training programs, skill development, educational policy, and lifelong learning. - Healthcare:
Includes themes on patient care, medical technology, public health, mental health, health policy, healthcare administration, wellness, and medical research. - Technology:
Encompasses innovations in software, hardware, AI, data analytics, cybersecurity, digital transformation, cloud computing, telecommunications, and emerging tech trends. - Administration:
Covers organizational management, governance, strategic planning, human resources, operational efficiency, policy implementation, compliance, and administrative technology. - Social Impact:
Focuses on community development, corporate social responsibility, sustainability, social justice, equality initiatives, philanthropy, volunteerism, and environmental issues.
Step 3: Theme Extraction & Categorization
- Review each GPT prompt output and identify primary and secondary themes.
- Assign themes to one or more relevant sectors based on the definitions.
- Tag content with multiple sectors if themes overlap (e.g., a health tech innovation could be tagged as both Healthcare and Technology).
Step 4: Create Categorization Log
Maintain a detailed log (spreadsheet or database) with the following fields:
| Prompt ID | Extracted Theme | Description | Primary Sector | Secondary Sector(s) | Notes |
Example entry:
| 1001 | AI in Medical Diagnostics | Using AI for early disease detection | Healthcare | Technology | Emerging innovation with high impact |
Step 5: Reporting & Utilization
- Generate sector-based summaries and insights for editorial teams.
- Use categorized themes to inform SayPro Monthly Magazine content strategy and partnership development.
- Share sector-focused reports with Strategic Partnerships Office to align with collaboration goals.
Optional: Automation Suggestion
To streamline the process, develop or use existing AI classification tools that automatically analyze GPT output and assign sector tags based on keyword and semantic analysis.
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