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Virality of content on social media

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dc.contributor.author Agarwal, Aman
dc.contributor.author Kumaraguru, Ponnurangam (Advisor)
dc.date.accessioned 2019-10-07T05:46:35Z
dc.date.available 2019-10-07T05:46:35Z
dc.date.issued 2018-11-22
dc.identifier.uri http://repository.iiitd.edu.in/xmlui/handle/123456789/744
dc.description.abstract Virality of online content on social networking websites is an important but esoteric phenomenon often studied in elds like marketing, psychology and data mining. In this project, I have studied viral content from a computer vision and natural language perspective. I have introduced a new dataset from Twitter for studying virality and de ned an annotation score using Twitter metadata. I have also trained a deep learning Siamese model to predict virality of individual posts using relative virality in pairs of posts. en_US
dc.language.iso en_US en_US
dc.publisher IIITD-Delhi en_US
dc.subject Deep learning for the web en_US
dc.subject Convolutional neural networks en_US
dc.subject Image virality en_US
dc.subject Image attributes en_US
dc.subject Text virality en_US
dc.title Virality of content on social media en_US
dc.type Other en_US

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