Abstract
Modern cities are a subject for various threats like terrorist attacks or natural disasters. Effective response on them requires fast delivering of information as close as possible to the source of events. Online social networks can play a role of monitoring system for such kind events with its users as particular sensors. But to exploit such a system one requires to have capabilities to process noisy, distorted data where desired information represented as compound entities scattered across the text of users’ messages, consisting of specific keywords, location names and service words heavily affected by usage styles of online social networks. This paper presents effective approach to handle with the problem of compound location extraction from online social networks in Russian language.
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Acknowledgment
This research financially supported by Ministry of Education and Science of the Russian Federation, Agreement #14.578.21.0196 (03.10.2016). Unique Identification RFMEFI57816X0196.
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Fatkulin, T., Butakov, N., Dzhafarov, B., Petrov, M., Voloshin, D. (2018). An Approach to Location Extraction from Russian Online Social Networks: Road Accidents Use Case. In: Pérez García, H., Alfonso-Cendón, J., Sánchez González, L., Quintián, H., Corchado, E. (eds) International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding. SOCO ICEUTE CISIS 2017 2017 2017. Advances in Intelligent Systems and Computing, vol 649. Springer, Cham. https://doi.org/10.1007/978-3-319-67180-2_14
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DOI: https://doi.org/10.1007/978-3-319-67180-2_14
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