A longitudinal study of topic classification on Twitter

Twitter represents a massively distributed information source over topics ranging from social and political events to entertainment and sports news. While recent work has suggested this content can be narrowed down to the personalized interests of individual users by training topic filters using sta...

Descripción completa

Detalles Bibliográficos
Autores principales: Bouadjenek, Mohamed Reda, Sanner, Scott, Iman, Zahra, Xie, Lexing, Shi, Daniel Xiaoliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Data Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202616/
https://www.ncbi.nlm.nih.gov/pubmed/35721404
http://dx.doi.org/10.7717/peerj-cs.991

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202616/
https://www.ncbi.nlm.nih.gov/pubmed/35721404
http://dx.doi.org/10.7717/peerj-cs.991

Ejemplares similares