[Social Engine] Develop Analytics Engine for Social Data Analysis

[dineshpinto]

• Description:
  Create a sophisticated analytics engine to process the data collected by the social platform connectors. This engine should perform cross-platform sentiment analysis (including anomaly detection in sentiment shifts), identify discussion topics through clustering, track emerging trends, and find correlations between social discussions and on-chain activities related to Flare.
• Acceptance Criteria:
  • A sentiment analysis model is integrated and applied to the collected social data to gauge public perception. Anomaly detection for unusual sentiment shifts is included.
  • Topic clustering algorithms are implemented to automatically identify and group key discussion themes from the aggregated social content.
  • A trend identification mechanism is developed to highlight emerging topics, changes in discussion volume, or significant shifts in sentiment over time.
  • Functionality is included to explore correlations between identified social trends and on-chain data (e.g., Flare token price movements, specific DApp transaction volumes, sourced via the Ecosystem Engine or GraphRAG).
• Potential Overlap: May require access to on-chain data from the Ecosystem Engine (Issue 30) for correlation analysis.

[YuliaYa2025]

Hi team! 👋 I’d love to contribute to this issue.

With several years of experience in data analysis, Python/SQL, and product performance reporting, I can help define useful metrics, create dashboards, or build scripts to surface usage insights from your current tracking setup.

I’d be happy to:

• Propose a tracking/metrics framework tailored to the AI Kit
• Build a lightweight dashboard using Streamlit or Dash
• Write scripts to clean, process, and aggregate event logs

Looking forward to collaborating!