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Social Intelligence

Customer-Facing Product

Sentiment & Intent Analysis

Separates emotion, intent, urgency, and buying/action signals in sports conversation. Separate emotion from intent so teams can understand not only how fans feel, but what they may do next.

ConceptLeagueTeamPlayer

Illustrative product experience. Connected data, governance, entitlement, activation, and production readiness remain client- and source-specific.

ConceptIllustrative customer scenario

Sentiment & Intent Analysis

Social Intelligence

Source policy attached

Signal lead time

23m

illustrative improvement

Noise removed

82.9%

illustrative coverage

Source coverage

85.0%

illustrative workflow

Decision window

14h

configured scenario

Choose a customer view

Customer type
Team workspace

Respond to the motivation behind the conversation.

Teams, media, sportsbooks, and sponsors can understand why fans are reacting.

The team view prioritizes the decision, analytics, and handoff most relevant to this team.

Personalized to the selected customer

Customer outcomes

Separate emotion from intent so teams can understand not only how fans feel, but what they may do next.

01

Outcome enabled

How do fans feel?

02

Outcome enabled

What do they intend to do?

03

Outcome enabled

What sentiment is changing fastest?

Powered by MegaHuddle resolutionCustomer-ready intelligence

Signal lead time

23m

illustrative improvement

Noise removed

82.9%

illustrative coverage

Source coverage

85.0%

illustrative workflow

Decision window

14h

configured scenario

The client value

Respond to the motivation behind the conversation.

Separate emotion from intent so teams can understand not only how fans feel, but what they may do next.

Sentiment & Intent Analysis gives team and media an accountable path from governed inputs to a useful customer result. The experience brings the customer question, the analytics behind it, and a delivery path through App, API, Report into one workflow.

Questions answered

How do fans feel?

What do they intend to do?

What sentiment is changing fastest?

Designed for

Team

Media

Sportsbook

Sponsor

Brand

01

Connect the analytics

Bring mre store records and source health into one governed analytics context.

02

Resolve the meaning

Use Resolution Engine and Sports Graph to align identity, timing, confidence, and relationships.

03

Deliver the next move

Package the answer through App, API, Report with the analytics, proof, and rules still attached.

Product requirements

What makes it work.

Required inputs and capabilities

MRE resolved views

entity graph

source runs

normalized content

internal MegaHuddle data

X RapidAPI/demo

Instagram RapidAPI/demo

Delivery and trust

Value that travels with its proof.

Governance labels, source rights, attribution, confidence, freshness, and missing dependency status must remain visible.

AppAPIReportAlert

Recommended first move

Connect production-grade sentiment model validation and customer benchmark sets.

Keep exploring

Related product paths.

View all products

Configure the opportunity

Make Sentiment & Intent Analysis yours.

We’ll shape the scope, analytics, workflow, governance, delivery, and success measures around the decisions that matter to your organization.

Start a product conversation