Natural Language Processing (NLP)
Definition
A branch of AI that enables computers to understand, interpret, and generate human language.
Overview
Natural Language Processing (NLP) enables machines to understand and work with human language. NLP techniques include text classification, sentiment analysis, named entity recognition, and text generation. In enterprise applications, NLP powers chatbots, document understanding, email classification, and voice interfaces. Modern NLP leverages deep learning models like transformers for more accurate language understanding.
Why It Matters
Up to 80% of enterprise data is unstructured text—emails, contracts, support tickets, and reports. Without NLP, this data is invisible to automation. NLP unlocks the ability to classify, extract, and act on unstructured information at scale, transforming untapped data into actionable intelligence.
How New Odyssey Helps
New Odyssey's AI agents use advanced NLP to understand documents, emails, and free-text fields, enabling automated classification, extraction, and routing of unstructured data across enterprise workflows.
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Related Solutions & Use Cases
- Document ProcessingExtract, classify, and process documents automatically with AI. Turn unstructured documents into structured data.
- Contract Data ExtractionExtract key terms, obligations, and dates from contracts automatically using AI-powered document understanding.
- Intelligent Document ClassificationAutomatically classify, tag, and route documents using machine learning for faster processing and improved accuracy.
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