Real Time New Topic Detection With Markers And Trend Emergence Tracking

via “real-time new topic detection with 🆕 markers and trend emergence tracking”

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Unique: Detects new topics by comparing current hotspot rankings against historical data, marking topics with significant rank increases as 🆕. Tracks emergence velocity to distinguish breaking news from sustained trends.

More efficient than semantic similarity detection (no LLM overhead) and more accurate than simple first-appearance detection (accounts for re-emerging topics), but requires historical baseline data.