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AI & Machine LearningDocument & Text Intelligence
Unstructured text - emails, contracts, reviews, resumes, support tickets, reports - contains valuable business intelligence that manual review cannot scale. We build natural language processing (NLP) systems that extract structured data from documents, classify text by intent or ...
Our Process
A proven methodology for delivering Document & Text Intelligence that drives real results.
Document Analysis
We review your document types, volumes, and the specific information you need extracted or classified to scope the NLP solution.
Taxonomy Design
We define the classification categories, extraction fields, and output formats that align with your business processes.
Model Training
We fine-tune NLP models on your specific documents, iterating until extraction accuracy and classification precision meet your targets.
Pipeline Development
We build an end-to-end processing pipeline - ingestion, OCR if needed, NLP processing, output formatting, and delivery to downstream systems.
Quality Assurance
Human-in-the-loop validation on a sample of processed documents ensures the system meets quality standards before scaling.
Production & Iteration
Full deployment with monitoring dashboards, error flagging, and scheduled model updates based on new document patterns.
Why Choose Our Document & Text Intelligence
The tangible advantages our clients experience when they partner with Semark.
Structured, actionable data extracted from unstructured text at scale
90%+ reduction in manual document review time
Consistent classification and extraction accuracy across high volumes
Real-time sentiment tracking and trend detection
Automated compliance and risk flagging across document repositories
Scalable processing that handles thousands of documents per hour
Ready to Get Started?
Let's discuss how our document & text intelligence services can help your business grow.
Discuss Your ProjectCommon Questions
Answers to the questions we hear most often about document & text intelligence.
PDFs, Word documents, emails, HTML, plain text, scanned images (via OCR), spreadsheets, and most structured/semi-structured text formats. We can also process handwritten text with specialized OCR models.
Accuracy depends on document quality and complexity. For well-structured documents we typically achieve 95%+ extraction accuracy. For complex or variable documents we use confidence scoring and human review for low-confidence extractions.
Yes. Modern NLP models support 100+ languages. We can build multilingual pipelines that detect language automatically and process accordingly.
We implement data encryption at rest and in transit, role-based access controls, audit logging, and can deploy entirely within your infrastructure or a private cloud for maximum data security.
Most NLP pipelines process hundreds to thousands of documents per hour depending on complexity. We design for your volume requirements and can scale horizontally for peak loads.
NLP is a branch of AI that enables computers to understand, interpret, and generate human language. In business applications, NLP powers document extraction, sentiment analysis, text classification, chatbots, and automated summarization - turning unstructured text into structured, actionable data.
Sentiment analysis uses NLP models to determine the emotional tone of text - positive, negative, or neutral. We train models on your specific domain data to accurately classify customer reviews, social media mentions, support tickets, and survey responses, providing real-time brand perception tracking.
Yes. We train document classification models on your specific document types - contracts, invoices, correspondence, legal filings - that automatically sort, route, and tag incoming documents with 95%+ accuracy, eliminating manual triage and accelerating processing workflows.
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