Automated Seeded Latent Dirichlet Allocation for Social Media Based Event Detection and Mapping

Automated Seeded Latent Dirichlet Allocation for Social Media Based Event Detection and Mapping

In the event of a natural disaster, geo-tagged Tweets are an immediate source of information for locating casualties and damages, and for supporting disaster management. Topic modeling can help in detecting disaster-related Tweets in the noisy Twitter stream in an unsupervised manner. However, the r...

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Bibliographic Details
Main Authors: Cornelia Ferner, Clemens Havas, Elisabeth Birnbacher, Stefan Wegenkittl, Bernd Resch
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Information
Subjects:
topic modeling
social media
geospatial analysis
disaster management
Online Access:https://www.mdpi.com/2078-2489/11/8/376

Internet

https://www.mdpi.com/2078-2489/11/8/376

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