Source and attribution. Faithful page-image reproduction from ACM Hypertext and Social Media 2021. Source PDF: 3465336.3475119.pdf; DOI: 10.1145/3465336.3475119. Published with supplied ACM publication authorization. Changes: layout is reproduced as source pages; no substantive changes are intended.

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Attributes
doi
10.1145/3465336.3475119
name
Federated Multi-task Learning for Complaint Identification from Social Media Data
pages
10
format
page-faithful facsimile
acm_url
https://dl.acm.org/doi/10.1145/3465336.3475119
authors
1.Apoorva Singh
2.Tanmay Sen
3.Sriparna Saha
4.Mohammed Hasanuzzaman
doi_url
https://doi.org/10.1145/3465336.3475119
license
restricted
summary
(empty)
keywords
Complaint Identification; Deep Multitask learning; Federated Learning
published
2021
source_pdf
HT-2021_35-30_3465336/3465336.3475119.pdf
import_kind
full_text
open_access
false
ccs_concepts
Information systems → Information extraction; Expert systems
displayAuthor
Apoorva Singh, Tanmay Sen, Ericsson, Sriparna Saha, Mohammed Hasanuzzaman
source_sha256
7f85b5b5b89e43b6f55aefe50703caf65c3ffd0da17fd5aa6d6d10558d159ed7
container_title
Proceedings of the 32nd ACM Conference on Hypertext and Social Media (HT ’21)
source_attribution
Faithful page-image reproduction from the supplied ACM version of record under supplied ACM publication authorization.