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Unveiling Criminal Networks: Analyzing Textual Data from Seized Documents

This project aims to develop a method for extracting meaningful information from a substantial collection of unstructured text documents found on a suspect's PC. Our objectives include identifying potential criminal actors within the text, mapping their relationships, and revealing underlying communities among these actors. By analyzing the content for criminal relevance, we intend to uncover significant topics and patterns that can assist in criminal investigations, ultimately enhancing law enforcement efforts.

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Unveiling Criminal Networks: Analyzing Textual Data from Seized Documents

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