Social networks as a data source for real-time emergencies detection

Ya. A. Bekeneva; A. M. Lopushanskiy

doi:10.1117/12.3024925

20 February 2024 Social networks as a data source for real-time emergencies detection

Ya. A. Bekeneva, A. M. Lopushanskiy

Author Affiliations +

Proceedings Volume 13065, Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023); 130650C (2024) https://doi.org/10.1117/12.3024925
Event: Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023), 2023, Dushanbe, Tajikistan

Abstract

The article explores ways to geocode events and extract information about the location where the specified event occurred. A tool has been developed that allows you to extract information such as addresses and intersections from text messages, create datasets and perform geolocation for both historical datasets and streaming data. Social networks were used as data sources, where the user can select a range of communities to search for information. The entire process of searching for messages, processing texts and placing geotags on the map is fully automated.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ya. A. Bekeneva and A. M. Lopushanskiy "Social networks as a data source for real-time emergencies detection", Proc. SPIE 13065, Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023), 130650C (20 February 2024); https://doi.org/10.1117/12.3024925

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