Relationship between detected events in online media

Social media allow users read, post, and share information about real-world events. There are several techniques to detect or discover real-world events from online news or posts. However, a problem that is often overlooked in this context corresponds to discovering relationships between events. A p...

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Détails bibliographiques
Auteur principal: Pereira, Fabrício Raphael Silva
Format: Tese
Langue:Inglês
Publié: Universidade Federal do Rio de Janeiro 2018-03
Sujets:
relationship between events
unsupervised learning
autoencoders
event model
event detection
online media
news
short text
neural networks
deep learning
text processing
CNPQ::ENGENHARIAS
Accès en ligne:http://hdl.handle.net/11422/13154
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