Innovations in News Media: Crisis Classification System
| Autor: | David Kaczynski, Gongzhu Hu, Lisa Gandy |
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| Rok vydání: | 2016 |
| Předmět: |
Training set
ComputingMilieux_THECOMPUTINGPROFESSION Area studies business.industry media_common.quotation_subject 020207 software engineering 02 engineering and technology Crisis management Public relations State (polity) 020204 information systems Political science 0202 electrical engineering electronic engineering information engineering business Natural language News media media_common |
| Zdroj: | Advances in Data Mining. Applications and Theoretical Aspects ISBN: 9783319415604 ICDM |
| DOI: | 10.1007/978-3-319-41561-1_10 |
| Popis: | Research in crisis management is a relatively new area of study, originating in the 1980s. Researchers have created several different models that separate organizational crises into discrete stages, such as pre-crisis, crisis and post-crisis. In this article we discuss a natural language based crisis detection system which classifies news articles relating to crises into the appropriate crisis stage. We use news articles from the New York Times as a source of training data, and use this data along with state of the art data mining and machine learning algorithms as the core of the system. In the future, our system may be expanded to identify and evaluate crisis management strategies, suggest crisis management strategies for the current state of a crisis, or provide stakeholders with summaries of crises in news media. |
| Databáze: | OpenAIRE |
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