Finding incident-related social media messages for emergency awareness

Autor:	Nieuwenhuijse, A., Bakker, J., Pechenizkiy, M., Berendt, B., Bringmann, B., Fromont, E., Garriga, G., Miettinen, P., Tatti, N., Tresp, V.
Přispěvatelé:	Information Systems WSK&I, Data Mining
Jazyk:	angličtina
Rok vydání:	2016
Předmět:	Information retrieval Emergency response SIMPLE (military communications protocol) Interface (Java) Computer science Relevance (information retrieval) Social media Decision-making Computer security computer.software_genre computer
Zdroj:	Machine Learning and Knowledge Discovery in Databases ISBN: 9783319461304 ECML/PKDD (3) Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III, 67-70 STARTPAGE=67;ENDPAGE=70;TITLE=Machine Learning and Knowledge Discovery in Databases
Popis:	An information retrieval framework is proposed which searches for incident-related social media messages in an automated fashion. Using P2000 messages as an input for this framework and by extracting location information from text, using simple natural language processing techniques, a search for incident-related messages is conducted. A machine learned ranker is trained to create an ordering of the retrieved messages, based on their relevance. This provides an easy accessible interface for emergency response managers to aid them in their decision making process.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fd468011e9e425003d92a87173a17c4 https://research.tue.nl/en/publications/715dcb37-1e25-4359-b7cf-7d15a6723c19 Zobrazit plný text záznamu