Intelligent Value Extraction
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Intelligent Value Extraction
Transforming unstructured English tasks into scientifically sound, quantified value metrics using Python & NLP.
Input
Raw English text and tasks describing work performed (e.g., “Expediting delivery speed…”).
Process
Extract value phrases, calculate confidence scores, and map to semantic concepts.
Output
Standardized tags (e.g., “Agility”) backed by numerical confidence metrics.
The Extraction Pipeline
The core engine follows a strict five-step scientific process to ensure data integrity and defensibility.
Value Extraction
Identify phrases representing benefits (e.g., “reduce latency”).
Confidence Scoring
Assign a numeric probability score to the extraction accuracy.
Semantic Mapping
Map phrases to the 10 defined concepts via vector similarity.
Intelligent Selection
Filter and select the top 1-2 tags with highest relevance.
Scientific Output
Deliver structured, defensible JSON data for analysis.
The 10 Value Concepts
The system maps extracted text to a fixed ontology of 10 business value drivers. This standardization allows for aggregation across thousands of unique tasks.
- Agility: Speed, adaptability, and time-to-market.
- Security: Protection, risk mitigation, and safety.
- Compliance: Adherence to laws, standards, and policy.
- Efficiency: Cost reduction and resource optimization.
- Reliability: Uptime, stability, and bug reduction.
Fig 1. The Ontology of Value Tags
The Decision Matrix
How does the AI decide? It plots the Confidence Score of the extraction against the Semantic Similarity to the tag. Only results in the “High Confidence / High Similarity” quadrant (top right) are automatically accepted.
Simulated Output Data
By processing a batch of English tasks through the system, we generate a frequency distribution of organizational focus.
Example Insight
In this dataset, Efficiency and Agility are the dominant value drivers, suggesting the team is currently focused on optimization and speed rather than new features (Innovation) or defensive measures (Security).
