Gartner Research

An Introduction to and Emerging Use Cases for Natural Language Processing

Published: 14 November 2018

ID: G00362298

Analyst(s): Soyeb Barot


NLP systems can radically improve an organization’s ability to discern meaningful insights from unstructured content. Technical professionals can leverage NLP toward critical use cases, like building knowledge hubs, information summarization, machine translation and performing sentiment analysis.

Table Of Contents


  • What Is NLP?
    • Channel Integration
    • Natural Language Understanding
    • Decision Engine
    • Natural Language Generation
  • When and Where to Use NLP
    • Text Summarization
    • Sentiment Analysis
    • Translation Services
    • Conversational Platforms (Chatbots, VPAs)
  • Strengths
  • Weaknesses


  • Text Summarization Implementation
  • Sentiment Analysis
  • Translation Services
  • Conversational Platforms
  • NLP Tools and Services

The Details

  • Text Summarization and Knowledge Graphs
    • Implementation Architecture
  • Sentiment Analysis
    • Implementation Architecture
  • Translation Services
    • Implementation Architecture
  • Conversational User Platforms
    • Implementation Architecture

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