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Fan Sentiment Analytics Hub

A source-linked view of themes and sentiment around a sports moment, with evidence available for review.

For

Audience, editorial, community, and partnership teams.

Input to output

  1. 01Authorized social conversations
  2. 02News and video context
  3. 03Live sports signals
  4. OUTExample insight card
Example insight card

Theme: reaction to the late equalizer

Evidence: approved conversation and media sources

Use: editorial planning, not an audience guarantee

Only authorized sources should be analyzed; social coverage is not universal and sentiment is an interpretation to review.

Explore this build in FactoryPlan a guided build

How it works

  1. 1
    machina

    Tracking Topics

    Upload analysis parameters and tracking topics.

  2. 2
    sportradar

    Sports Data Synchronization

    Gather live match data to contextualize fan sentiment.

  3. 3
    x

    Social Sentiment Analysis

    Analyze fan conversations and sentiment patterns.

  4. 4
    youtube

    Video Engagement Analysis

    Analyze fan engagement patterns and sentiment in video content.

  5. 5
    reddit

    Community Insight Analysis

    Analyze in-depth fan discussions and community trends.

  6. 6
    machina

    Analysis Generation

    Generate comprehensive fan behavior and sentiment insights.

Example components, sources, and tools

Setup notes

  • x
    X.com
  • reddit
    Reddit
  • youtube
    YouTube
  • machina
    Machina DBMachina component
  • machina
    Machina AIMachina component
  • sportradar
    Sportradar

Machina components are shown separately from external source and tool connections. External availability depends on the configured build and source rights.