Unsupervised Approach to Detect Extreme Sentiments on Social Networks

AuthID
P-00T-RSN
4
Author(s)
Tanoli, IK
·
Albardeiro, M
·
3
Editor(es)
Atzmüller,M;Coscia,M;Missaoui,R
Tipo de Documento
Proceedings Paper
Year published
2020
Publicado
in 2020 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM) in Proceedings of the IEEE-ACM International Conference on Advances in Social Networks Analysis and Mining, ISSN: 2473-9928
Páginas: 651-658 (8)
Conference
Ieee/Acm International Conference on Advances in Social Networks Analysis and Mining (Asonam), Date: DEC 07-10, 2020, Location: ELECTR NETWORK, Patrocinadores: IEEE, Assoc Comp Machinery, IEEE Comp Soc, ACM SIGKDD, IEEE TCDE, Springer, Elsevier
Indexing
Publication Identifiers
DBLP: conf/asunam/PaisTAC20
SCOPUS: 2-s2.0-85103689430
Wos: WOS:000678816900103
Source Identifiers
ISSN: 2473-9928
Export Publication Metadata
Info
At this moment we don't have any links to full text documens.