IBM Internet Of Things
  • Cover
  • Summary
  • About this Training
    • Objectives
    • Skills
    • Prerequisites
    • Requirements
  • Once Upon A Time ...
  • Introduction
    • Architecture
    • Community
  • Bluemix
    • Internet of Things
    • Getting Started
    • Catalogs
    • Documentation
    • Examples
  • Watson
    • Internet of Things
    • Clients
      • C
      • Python
    • Quick Start
      • IBM Watson IoT Platform Connect
        • Registration
        • Events
    • Services
      • Tone Analyzer
    • Applications
      • Projects
  • Node-RED
    • Installation
      • x86
    • IBM Watson IoT
    • Projects
      • Intel Gpio Digital
      • Input MQTT + Output Debug
      • Input Inject + Output Debug
      • Input MQTT + Output Debug
      • Watson™ Tone Analyzer Service
      • Visitors Center
  • Cloud Foundry CLI
  • Messaging
  • JazzHub
  • Wrap-Up
    • Online Training
    • Challenge
  • SandBox
Powered by GitBook
On this page
  1. Watson
  2. Services

Tone Analyzer

PreviousServicesNextApplications

Last updated 7 years ago

The IBM Watson™ Tone Analyzer Service uses linguistic analysis to detect three types of tones from written text: emotions, social tendencies, and writing style. Emotions identified include things like anger, fear, joy, sadness, and disgust. Identified social tendencies include things from the Big Five personality traits used by some psychologists. These include openness, conscientiousness, extraversion, agreeableness, and emotional range. Identified writing styles include confident, analytical, and tentative.

Homepage