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Natural language processing consulting & implementation

Gain better insights from your unstructured data

Article: Unlocking value from unstructured data

Extracting insights from unstructured data has been difficult. But with natural language processing and machine learning, this is changing fast.

Example natural language processing applications

Question-answer systems

Enhance enterprise knowledge management and discovery by providing employees with natural language responses generated from data from multiple sources.

Intelligent document analysis

Combine NLP and machine learning (ML) to help gain insights into human-generated, natural language text documents.

Business chatbots and virtual assistants

Answer support queries and direct users to manuals or other resources, helping enterprises reduce support costs and improve customer engagement.

E-commerce product recommendations

Improve search relevancy, provide targeted responses, and deliver personalized results based on the user’s query intent.

Sentiment analysis and market intelligence

Mine social media, reviews, news, and other relevant sources to gain better insights about customers, partners, competitors, and market trends.

Fraud detection and risk management

Identify potential fraud and risk by analyzing financial and contract documents as well as specific communications.

Storage optimization analytics

Provide visibility into enterprise data storage and reduce costs by removing or migrating stale and obsolete content.

Natural resources exploration

Extract information from historical documents, reports, maps, notes, etc., to support business operations and new explorations.

Pharmaceutical research and manufacturing

Extract insights from research and trials reports to accelerate drug discovery and improve manufacturing processes.

Experienced natural language processing consultants

Strategic consulting, implementation, support 

Assessment, project planning, architectural design, implementation, and support for your NLP application.


Content acquisition and enrichment 

Acquire unstructured or semi-structured data from multiple enterprise sources using Accenture’s Aspire content processing framework and connectors.


A new R&D initiative for a scalable NLU framework

A scalable, maintainable NLP/NLU framework supporting content understanding and query interpretation to deliver better insights and user experience.


User interface development

Custom, enhanced user interface for a unified natural language search and analytics experience.


Machine learning and knowledge graphs

Integration with AI technologies and knowledge graphs to improve accuracy, relevancy, and automation.


Common natural language processing techniques


Question matching

Match the question to a curated FAQ list or previously-answered questions database.

Document understanding

Read and interpret highly-curated content, such as documentation and specifications.

Procedure understanding

Read and convert written procedures into knowledge graphs for faster, more robust insight discovery.

Knowledge graph answers

Used to generate answers from curated, structured information.

Search & content analytics blog

Our leaders

John Matchette

Senior Managing Director – Strategy and Consulting, Supply Chain and Operations, Data and AI Solutions Lead

Paul Nelson​

Innovation Lead – Accenture Applied Intelligence


Search and content analytics

Unlock the value in unstructured data—text, images, voice—with search, analytics, NLP, and machine learning.

Artificial Intelligence

Harness the power of data and artificial intelligence to accelerate change for your business.

Data-driven Reinvention

Creating meaningful business change with data and AI.