User Guide
eva 3.4.1
Current Versioneva 3.4.1eva 3.3.1
eva 3.4.1
Current Versioneva 3.4.1eva 3.3.1
  • Home and Support
  • What's new
  • Changelog
  • Using eva
    • Overview
      • Virtual Agents
      • Main Concepts of eva
      • Glossary
    • Developing virtual agents
      • Quick Start with eva
      • Dialog Flows
      • Dialog Cells
        • Intent Cells
        • Entity Cells
        • Answer Cells
        • Service Cells
        • Input Cells
        • Jump Cells
        • End Cells
        • Code Cells
        • Rule Cells
      • Training task
      • Export and import agents
      • Create virtual agents from templates
      • Create and manage users
    • Channels
      • Integrating Existing Channels
    • Testing Virtual Agents
      • Test a virtual agent
      • Automated Test
    • Natural Language
      • eva NLP
      • Training with eva NLP
      • Training with eva Automated Learning
      • Using other NLP engines
    • Analytics
      • External analytics platforms
    • Experience
      • Context Management
    • Advanced Options
      • Parameters
      • Intent Navigator
      • PII Data masking
    • How Tos
      • Creating variable answers with Code and Rule cells
      • Videos
  • for technicians
    • eva server Installation guide
    • API Guidelines
      • Conversation API
      • Cloner API
      • Webhooks
    • Supported/verified third-party software
    • Appendices
    • Data Extraction
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  1. Using eva

Natural Language

Natural Language Processing (NLP) is a subset of linguistics, computer science and artificial intelligence, concerned with interactions between computers and humans. This technology helps the computer to process human language and “understand” contextual nuances in text or voice and thus respond to users' demands.

eva has its own cognitive engine technology: the eva NLP, a NTT DATA proprietary Natural Language Processing engine, that comes integrated as default. eva also allows you to use different cognitive engines.

Learn in this chapter how to get the best out of its capabilities and how to integrate other NLPs.

PreviousAutomated TestNexteva NLP

Last updated 2 years ago