Natural Language Processing (NLP) for Geospatial Text Analysis

The contract seeks to apply natural language processing techniques to extract location-based intelligence from unstructured geospatial text sources including incident reports, news articles, and social media feeds. The goal is to transform free-form textual data containing geographic references into structured, actionable geospatial insights that support situational awareness and decision-making. The project requires advanced NLP models capable of identifying, disambiguating, and geolocating mentions of places, coordinates, and directional references within noisy and diverse textual inputs, with an emphasis on accuracy, scalability, and real-world applicability. This subcontract, posted under NAICS code 541690 and managed by the Bureau of Industry and Security within the Department of Commerce, has a response deadline of June 23, 2026 at 3:30 PM. While no specific place of performance or point of contact is listed, the work is expected to involve developing and refining algorithms that can handle global text inputs in multiple languages and formats. The effort is focused on enhancing the agency’s ability to automatically detect and map geospatial events and trends from open-source textual data, enabling more timely and precise intelligence outputs without manual intervention.