Gartner Research

What Sentiment Analysis Is and What Technical Professionals Need to Know

Published: 30 May 2012

ID: G00228736

Analyst(s): Jamie Popkin

Summary

Sentiment analysis is one of the IT industry’s latest efforts to automate the process of extracting knowledge and insight from text. The good news is that it is possible and comes with acceptable ROI. The challenge is that sentiment analysis requires active system management and high levels of industry domain expertise. In this assessment, Gartner assesses the state of sentiment analysis and highlights what technical professionals need to know to ensure the success of their enterprise with sentiment analysis applications.

Table Of Contents

Summary of Findings

Analysis

  • What Is Sentiment?
    • Word Origin and History
    • Where and Why Is Sentiment Analyzed?
    • What Are the Best Sources for Sentiment?
    • The Foundations of Emotion Analysis
  • What Is Sentiment Analysis?
  • What Does the Technical Professional Need to Know About Sentiment Analysis?
    • Sentiment Analysis's Place in the Information Retrieval Family
    • Sentiment Analysis Technical Approaches
    • Relative Maturity of Sentiment Analysis
    • A Framework for Categorizing Sentiment Analysis Use Cases
  • Strengths
  • Weaknesses

The Details

  • Sentiment Analysis Is a Difficult IT Challenge
    • Examples of the Challenges in Performing Sentiment Analysis, From P&G's Facebook Page
  • Building a Sentiment Analysis Pipeline Engine
    • Creating a Framework for Characterizing Expressions
    • Approaches to Topic Identification and Classification
    • The Three Primary Technical Approaches to Sentiment Analysis
    • Sentiment Representation and Display
  • Emotional Analysis
    • Osgood and Others and "The Measurement of Meaning"
    • Halliday and Martin's Appraisal Framework
    • Dr. Clark Elliot's Affective Reasoner
    • Dr. Paul Ekman's Basic Emotions Research

Recommended Reading

Notes

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