Quality assurance

Semaphore includes built-in tools to ensure classification accuracy and support continuous improvement:

Document Analyzer

• Allows users to test how a document is classified

• Shows which rules fired and why

• Highlights matched terms and extracted facts

Precision & Recall Tool

• Measures the accuracy of classification rules against a gold standard

• Helps teams tune thresholds and refine logic

• Supports iterative model improvement

These tools are essential for maintaining trust in automated classification, especially in regulated environments.

Classification Pipeline and Scoring Logic

Semaphore's classification pipeline follows a structured flow:

1. Content Ingestion: Documents are ingested from CMS, SharePoint, file shares, or APIs.

2. Preprocessing: Text is extracted, tokenized, and normalized.

3. Rule Evaluation: Classification rules are applied to identify relevant concepts.

4. Scoring: Each classification is assigned a confidence score.

5. Thresholding: Only classifications above a defined threshold are retained.

6. Fact Extraction: Structured data is extracted using semantic patterns.

7. Metadata Output: Enriched metadata is returned to the source system or downstream applications.

This pipeline is designed for high throughput, multilingual support, and real-time or batch execution.

Business Impact

By automating document classification, Semaphore delivers:

• Reduced manual effort and tagging errors

• Faster content processing and routing

• Improved metadata consistency across systems

• Enhanced search, compliance, and analytics

• AI readiness through structured, explainable metadata