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SUMMARY:From Text to Terrain: Automated Geolocation Analysis of Dark Web D
 ata - Laura Bernardy
DTSTART;TZID=Europe/Luxembourg:20261020T163000
DTEND;TZID=Europe/Luxembourg:20261020T170000
DTSTAMP:20261009T050416Z
UID:pretalx-hack-lu-2026-F7XYB8@pretalx.com
DESCRIPTION:How to turn noisy dark web text into actionable geospatial int
 elligence - fast\, lightweight and at scale?\n\nThis talk introduces a lig
 htweight NLP pipeline that can be combined with CIRCL's AIL Framework to u
 ncover hidden geographic patterns in unstructured dark web data. Combining
  fastopic filtering techniques\, created at this year's hackathon.lu\, wit
 h RueBERTA\, a RoBERTa model trained on weakly labeled data\, the system e
 xtracts and parses location-related entities ranging from cities and POIs 
 to full addresses. It can even catch your secret PO-Box!\nThe result: an i
 nteractive map that transforms chaotic underground text into intuitive\, e
 xplorable geographic insights.
LOCATION:Europe
URL:https://pretalx.com/hack-lu-2026/talk/F7XYB8/
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