NLP & Text Analysis
Extract Meaning From Text at Scale — Automatically
Custom NLP pipelines that read, classify, and extract insight from thousands of documents, reviews, or tickets per hour — so your team analyses trends instead of reading raw text.
Discuss Your NLP Project →NLP Capabilities
Text Classification
Categorise customer reviews, support tickets, or documents into custom labels with 95%+ accuracy.
Named Entity Recognition
Extract people, organisations, products, locations, and custom entities from unstructured text at scale.
Sentiment Analysis
Fine-grained sentiment scoring (positive/negative/neutral/aspect-level) across reviews, social posts, and surveys.
Topic Modelling
Discover hidden themes in large document collections using LDA, BERTopic, or GPT-4o-based clustering.
Semantic Search
Build search that understands meaning — not just keywords — using embeddings and vector databases.
Multilingual NLP
Process Spanish, French, German, Dutch, and other European languages with multilingual transformer models.
NLP Project Pricing
Text Classification
One NLP task (classification, sentiment, or NER) on your dataset. Delivered as Python script + CSV output or API endpoint.
- ✓Custom label taxonomy
- ✓Model training + eval
- ✓Accuracy report
- ✓30-day support
Full NLP Solution
End-to-end NLP pipeline: data cleaning, model selection, fine-tuning, evaluation, and production API deployment.
- ✓Data preprocessing
- ✓Model fine-tuning
- ✓REST APWe delivery
- ✓Documentation
- ✓60-day support
Monthly NLP Monitoring
Ongoing analysis of new text data (reviews, tickets, social posts) with weekly insight reports and trend alerts.
- ✓Weekly batch processing
- ✓Trend dashboard
- ✓Alert thresholds
- ✓Monthly insight report
NLP Tech Stack
FAQ
What programming language do you use for NLP?
Python — using spaCy, HuggingFace Transformers, NLTK, and OpenAI API. Outputs are delivered as APIs, CSV exports, or dashboard integrations.
Can you analyse text in languages other than English?
Yes. Multilingual NLP is a core capability. We work with Spanish, French, German, Dutch, and other European languages using multilingual BERT and mBERT models.
How long does an NLP project take?
A classification pipeline takes 1–2 weeks. A full custom NLP solution with fine-tuning, evaluation, and APWe delivery typically takes 3–6 weeks.
Can you process my existing review or feedback data?
Yes. Bulk processing of historical text data (reviews, tickets, emails, surveys) is a standard starting point. We handle CSV, JSON, SQL exports, or direct API connections.
Have Text Data? Let's Make It Useful.
Book a free call and We will tell you exactly what insight is buried in your data and how to extract it.
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