We present the text processing framework for detection and analysis of events related to emergencies in a specified region. We consider the Arctic zone as a particular example. The peculiarity of the task consists in data sparseness and scarceness of tools/language resources for processing such specific texts. The system performs focused crawling of texts related to emergencies in the Arctic region, information extraction including named entity recognition, geotagging, vessel name recognition, and detection of emergency related messages, as well as indexing of texts with their metadata for faceted search. The framework aims at processing both English and Russian text messages and documents. We report the results of the experimental evaluation of the framework components on Twitter data.
DOI: http://dx.doi.org/10.1007/978-3-319-57135-5_6
РИНЦ: https://www.elibrary.ru/item.asp?id=41773939
ResearchGate: https://www.researchgate.net/publication/316356617_Text_Processing_Framework_for_Emergency_Event_Detection_in_the_Arctic_Zone
Devyatkin D., Shelmanov A. Text Processing Framework for Emergency Event Detection in the Arctic Zone // International Conference on Data Analytics and Management in Data Intensive Domains. – Springer, Cham, 2016. – p. 74-88