Mathematical Research Data Initiative
Main page
Recent changes
Random page
Help about MediaWiki
Create a new Item
Create a new Property
Merge two items
In other projects
Discussion
View source
View history
Purge
English
Log in

Embed2detect: temporally clustered embedded words for event detection in social media

From MaRDI portal
Publication:2127218
Jump to:navigation, search

DOI10.1007/S10994-021-05988-7OpenAlexW3164024373WikidataQ125923613 ScholiaQ125923613MaRDI QIDQ2127218

Mohamed Medhat Gaber, Jagdev Bhogal, Hansi Hettiarachchi, Mariam Adedoyin-Olowe

Publication date: 20 April 2022

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2006.05908


zbMATH Keywords

hierarchical clusteringsocial mediadendrogramword embeddingvocabulary


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)


Related Items (2)

Embed2detect ⋮ Deep learning and natural language processing in computation for offensive language detection in online social networks by feature selection and ensemble classification techniques


Uses Software

  • word2vec
  • t-SNE
  • GloVe
  • Transformers
  • BERT
  • DistilBERT
  • TwitterNews
  • BOND



Cites Work

  • Embedding-based silhouette community detection
  • A comparative study of divisive and agglomerative hierarchical clustering algorithms
  • Introduction to Information Retrieval
  • 10.1162/153244303322533223
  • Unnamed Item




This page was built for publication: Embed2detect: temporally clustered embedded words for event detection in social media

Retrieved from "https://portal.mardi4nfdi.de/w/index.php?title=Publication:2127218&oldid=14635732"
Tools
What links here
Related changes
Special pages
Printable version
Permanent link
Page information
MaRDI portal item
This page was last edited on 1 February 2024, at 23:11.
Privacy policy
About MaRDI portal
Disclaimers
Imprint
Powered by MediaWiki