Influencer Tracker

Influencer Tracker enables ASKNOEL to track and analyze discussions from key opinion leaders (KOLs) across social platforms like X (Twitter) and Telegram. By monitoring sentiment, engagement, and trending topics, this tool provides actionable insights into emerging narratives and their potential impact on the market.

Key Features

  • Influencer Activity Tracking – Monitors tweets, discussions, and group messages from analysts, investors, and project leaders.

  • Sentiment Analysis – Utilizes NLP models to classify market sentiment as positive, negative, or neutral.

  • Trend Identification – Detects frequently mentioned assets, themes, and emerging narratives shaping market trends.

  • Engagement Metrics – Analyzes responses, interactions, and virality to gauge the level of influence.

  • Historical Data Retention – Archives KOL discussions for in-depth trend analysis and pattern recognition.

Technical Implementation

  • API & Web Scraping – Extracts structured data from social media and community platforms for real-time tracking.

  • Natural Language Processing (NLP) – Evaluates sentiment, context, and relevance of discussions to determine market influence.

  • Real-Time Monitoring & Alerts – Notifies users of significant shifts in key conversations or emerging trends.

  • Data Aggregation & Visualization – Organizes insights into structured, actionable reports for strategic decision-making.

Future Developments

  • Influencer Categorization – Differentiates between traders, analysts, developers, and investors for more refined insights.

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