A graph-based semi-supervised approach to classification learning in digital geographies

As the distinction between online and physical spaces rapidly degrades, social media have now become an integral component of how many people's everyday experiences are mediated. As such, increasing interest has emerged in exploring how the content shared through those online platforms comes to...

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Veröffentlicht in:	Computers, environment and urban systems Jg. 86; S. 101583
Hauptverfasser:	Liu, Pengyuan, De Sabbata, Stefano
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.03.2021 Elsevier Science Ltd
Schlagworte:	Artificial neural networks Convolution Digital geographies Digital media Graph convolutional network Image classification Labels Machine learning Model accuracy Multi-modal autoencoder Neural network Neural networks Qualitative analysis Social media Social networks Graph convolutional network Neural network Digital geographies Social media Multi-modal autoencoder
ISSN:	0198-9715, 1873-7587
Online-Zugang:	Volltext
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