Towards text processing system for emergency event detection in the Arctic zone

Dmitriy Deviatkin, Artem Shelmanov

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

We present the ongoing work on text processing system for detection and analysis of events related to emergencies in the Arctic zone. 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 documents related to emergencies in the Arctic region, text parsing including named entity recognition and geotagging, and indexing texts with their metadata for faceted search. The system aims at processing both English and Russian text messages and documents. We report the preliminary results of the experimental evaluation of the system components on Twitter data.

Original languageEnglish
Pages (from-to)148-154
Number of pages7
JournalCEUR Workshop Proceedings
Volume1752
Publication statusPublished - 2016
Externally publishedYes
Event18th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2016 - Ershovo, Moscow Region, Russian Federation
Duration: 11 Oct 201614 Oct 2016

Keywords

  • Event detection
  • Focused crawling
  • Information search
  • Monitoring
  • Named entity recognition
  • Text processing

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