A Simple Language Independent Approach for Distinguishing Individuals on Social Media
- doi
- 10.1145/3465336.3475092
- name
- A Simple Language Independent Approach for Distinguishing Individuals on Social Media
- year
- 2021
- pages
- 7
- venue
- Proceedings of the 32nd ACM Conference on Hypertext and Social Media (HT ’21)
- acm_url
- https://dl.acm.org/doi/10.1145/3465336.3475092
- authors
- 1.nameGuangyuan Piaoemailguangyuan.piao@mu.ieaffiliationDepartment of Computer Science, Maynooth University, Maynooth, Co Kildare, Ireland
- doi_url
- https://doi.org/10.1145/3465336.3475092
- license
- CC BY 4.0
- summary
- (empty)
- keywords
- Account Classification, Deep Learning, Social Media Analysis
- source_pdf
- /workspace/HT-2021_35-30_3465336/3465336.3475092.pdf
- source_url
- https://dl.acm.org/doi/10.1145/3465336.3475092
- import_kind
- full_text
- open_access
- true
- ccs_concepts
- • Human-centered computing →Social media; Social net-
- authorization
- ACM HyperText proceedings import authorization recorded 2026-09-08; complete authority from ACM to publish all HT content.
- displayAuthor
- Guangyuan Piao
- publication_year
- 2021
Powered by Seed HypermediaOpen App