Gartner Research

Hype Cycle for Content and Social Analytics, 2014

Published: 04 August 2014

ID: G00263821

Analyst(s): Carol Rozwell, Rita Sallam


The surge of interest in big data and socially generated content has resulted in a commensurate increase in attention on several technologies to help analyze this potentially useful information. This Hype Cycle highlights technologies and tools for the vibrant content and social analytics market.

Table Of Contents


  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • On the Rise
    • Digital Workplace Graph
    • Talent Science
    • Hadoop-Based Data Discovery
    • Proactive Search
    • Enterprise Social Graph
    • Graph Analysis
    • Deep Learning
    • Natural-Language Processing (NLP)
    • Machine Learning
    • Search-Based Data Discovery Tools
    • Emotion Detection/Recognition
  • At the Peak
    • Data Science
    • Geospatial and Location Intelligence
    • Predictive Analytics
    • Contact Center Interaction Analytics
    • Big Data Analytics for Fraud and Security
    • Natural-Language Question Answering
    • Social Media Analytics
    • Social Network Analysis
    • Multichannel Customer Analytics
    • Workforce Analytics
  • Sliding Into the Trough
    • Content Analytics
    • Audio Mining/Speech Analytics
    • Social Media Compliance
    • Facial Recognition
    • Sentiment Analysis
    • Social Analytics
    • Ensemble Learning
    • Text Analytics
  • Climbing the Slope
    • Enterprise Information Archiving
    • Social Media Engagement Applications
  • Entering the Plateau
    • Web Analytics
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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