An Offline–Online Visual Framework for Clustering Memes in Social Media

Anh Dang; Abidalrahman Moh’d; Anatoliy Gruzd; Evangelos Milios; Rosane Minghim; Abidalrahman Moh'd

doi:10.1007/978-3-319-51367-6_1

An Offline–Online Visual Framework for Clustering Memes in Social Media

Anh Dang
, Abidalrahman Moh’d
, Anatoliy Gruzd
, Evangelos Milios
, Rosane Minghim
, Abidalrahman Moh'd

Eastern Illinois University

Producción científica › revisión exhaustiva

Idioma original	American English
Publicación	Default journal
DOI	https://doi.org/10.1007/978-3-319-51367-6_1
Estado	Published - ene 1 2017

Disciplines

Computational Linguistics
Computer Sciences
Artificial Intelligence and Robotics

Acceder al documento

10.1007/978-3-319-51367-6_1Licencia: Unspecified

Otros archivos y enlaces

https://link.springer.com/chapter/10.1007/978-3-319-51367-6_1

Citar esto

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title = "An Offline–Online Visual Framework for Clustering Memes in Social Media",

author = "Anh Dang and Abidalrahman Moh{\textquoteright}d and Anatoliy Gruzd and Evangelos Milios and Rosane Minghim and Abidalrahman Moh'd",

note = "Anh Dang Abidalrahman Moh'd Anatoliy Gruzd Evangelos Milios Rosane Minghim Part of the Lecture Notes in Social Networks book series (LNSN) The amount of data generated in Online Social Networks (OSNs) is increasing every day. Extracting and understanding trending topics and events from the vast amount of data is an important area of research in OSNs.",

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