AI

NLP & Text Analytics

Turn Unstructured Text into Structured Business Intelligence

Wat wij doen

Your organisation generates enormous volumes of unstructured text — emails, customer feedback, contracts, support tickets, and regulatory filings. NLP and text analytics transforms this dark data into structured, queryable insights that drive operational improvements and competitive intelligence.

Geschikt voor

Customer-facing, legal, compliance, and HR teams buried in unstructured text they cannot analyse at scale with manual processes

Veelvoorkomende toepassingen

Customer Sentiment Analysis

Classify customer feedback, reviews, and support tickets by sentiment and topic — generating real-time product and service insights.

Contract Intelligence

Extract key clauses, parties, dates, obligations, and risk flags from contracts automatically — reducing review time by 80%.

Multilingual Text Classification

Classify Dutch and English documents into business categories — routing, prioritisation, or compliance tagging.

Automated Regulatory Monitoring

Monitor regulatory feeds (AFM, DNB, EU Official Journal) and classify relevant changes to your compliance obligations.

Employee Feedback Analysis

Analyse employee survey free text at scale — surfacing themes, sentiment trends, and urgent signals without manual reading.

PII Detection & Redaction

Automatically detect and redact personal data in documents and communications at scale.

Hoe wij werken

01

Text Corpus Assessment

Evaluate your text data volumes, languages, quality, and labelling availability to design the right NLP approach.

02

Model Development

Build the NLP pipeline: preprocessing, model selection (Azure AI Language, fine-tuned transformer, or custom), and evaluation.

03

Output Integration

Connect NLP outputs to your downstream systems: dashboards, CRM flags, workflow triggers, or a structured database.

04

Monitoring & Maintenance

Monitor accuracy drift, set up human review for edge cases, and plan the model refresh cadence.

Wat u ontvangt

  • NLP pipeline deployed on Azure
  • Evaluated model with accuracy and F1 score by class
  • Integration with downstream reporting or operational systems
  • Human review workflow for low-confidence predictions
  • Data governance documentation for text data processing
  • Source code ownership

Klaar om te beginnen?

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