Scholarlink

This project demonstrates how a machine learning based approach can revolutionize the analysis of unstructured text data in defense intelligence. By automating key processes, the system will enable faster and more accurate identification of threats and patterns, improving decision-making and operational efficiency. This innovative application highlights the transformative role of technology in addressing real-world challenges in intelligence gathering.

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Entity Recognition for Defense Intelligence

  • 会议论文

  • 发表日期：

    2026年

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  • Sagar Janokar,
  • Krish Deshpande,
  • Krishna Masane,
  • Shriyash Kothe,
  • Varad Kulat,
  • Krish Chabria,
  • Rushikesh Kuchekar

摘要

This project demonstrates how a machine learning based approach can revolutionize the analysis of unstructured text data in defense intelligence. By automating key processes, the system will enable faster and more accurate identification of threats and patterns, improving decision-making and operational efficiency. This innovative application highlights the transformative role of technology in addressing real-world challenges in intelligence gathering.