Unsupervised Approach to Detect Extreme Sentiments on Social Networks

AuthID
P-00T-RSN
4
Author(s)
Tanoli, IK
·
Albardeiro, M
·
3
Editor(es)
Atzmuller,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
Citações
Oops! It looks like you don't have access to this content.

This section is restricted to uses with b-on access.



CORE Conference
No information about CORE Rank

During the preprocessing phase, only publications of type 'Proceedings Paper' or 'Proceedings' are automatically processed to identify their CORE Rank.

TIP: If your publication's CORE Rank is missing, you can contact with your institutional manager to have the correct ranking manually added to the record.

Journal Factors
Oops! It looks like you don't have access to this content.

This section is restricted to uses with b-on access.

Info
At this moment we don't have any links to full text documens.