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Learning User Embeddings from Temporal Social Media Data: A Survey

Learning User Embeddings from Temporal Social Media Data: A Survey

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2528646776

Learning User Embeddings from Temporal Social Media Data: A Survey

About this item

Full title

Learning User Embeddings from Temporal Social Media Data: A Survey

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2021-05

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

User-generated data on social media contain rich information about who we are, what we like and how we make decisions. In this paper, we survey representative work on learning a concise latent user representation (a.k.a. user embedding) that can capture the main characteristics of a social media user. The learned user embeddings can later be used t...

Alternative Titles

Full title

Learning User Embeddings from Temporal Social Media Data: A Survey

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2528646776

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2528646776

Other Identifiers

E-ISSN

2331-8422

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