Integrating GIS with Natural Language Processing for Location-Based Insights

Author(s)	Kirti Vasdev
Country	United States
Abstract	This paper explores the integration of Geographic Information Systems (GIS) with Natural Language Processing (NLP) to extract location-based insights from textual data. GIS provides spatial context while NLP processes unstructured data to gain meaningful information, enabling a wide range of applications from urban planning to disaster management. The paper reviews existing methods, presents case studies, and discusses the challenges and opportunities in this field. It also provides a conceptual framework for the integration of GIS and NLP, with examples of real-world applications.
Keywords	GIS, Natural Language Processing, Location-Based Insights, Spatial Data, Data Mining, Case Studies
Field	Engineering
Published In	Volume 6, Issue 2, March-April 2024
Published On	2024-03-08
DOI	https://doi.org/10.36948/ijfmr.2024.v06i02.23437
Short DOI	https://doi.org/g82hq6

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International Journal For Multidisciplinary Research