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NLP Classifier Agent

Uses TF-IDF combined with BERT embeddings (distilbert-base) for semantic understanding. Classifies RFIs by discipline, urgency, and complexity.

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Agent ID

nlp-classifier

Portal Nexgile-SiteGenius Command

Sector Government, Healthcare, and Education Infrastructure

Status

Operational

Problem Statement

The challenge addressed

RFIs arrive with varying formats and terminology. Manual classification and prioritization is inconsistent and time-consuming, leading to misrouting and delays.

Core Logic

How the agent solves it

Uses TF-IDF combined with BERT embeddings (distilbert-base) for semantic understanding. Classifies RFIs by discipline, urgency, and complexity. Extracts named entities (persons, locations, building sy... Uses TF-IDF combined with BERT embeddings (distilbert-base) for semantic understanding. Classifies RFIs by discipline, urgency, and complexity. Extracts named entities (persons, locations, building systems), performs sentiment analysis, and assigns confidence scores. Outputs structured classification for downstream routing.

System Navigation

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Portal

Nexgile-SiteGenius Command

Digital Worker

AI-Powered RFI Resolution

Current Agent

NLP Classifier Agent

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