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- W3108885890 abstract "Twitter has emerged as one of the most preferred disaster communication medium particularly in those countries where it has significant presence. Fort McMurray, Canada was engulfed in a wildfire in May 2016 that burnt down major part of the city and the disaster communication on twitter related to this was studied. Tweets related were downloaded and analyzed using frequency analysis, correlation analysis and Topic Model Latent Dirichlet Allocation (Gibbs Method). The LDA model automatically discovered the most relevant topics that are highly correlated probabilistically to the effective and reliable disaster communication.The disaster communication pattern also followed the various disaster stages as initially most of theinformation was related to intensity, evacuation and relief efforts followed by the updates and status of the wildfire and firefighting efforts and finally related to phased returning of residents back to city." @default.
- W3108885890 created "2020-12-07" @default.
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- W3108885890 date "2016-07-30" @default.
- W3108885890 modified "2023-09-23" @default.
- W3108885890 title "An Empirical Text Mining Analysis of Fort McMurray Wildfire Disaster Twitter Communication using Topic Model" @default.
- W3108885890 hasPublicationYear "2016" @default.
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