Embed2detect: temporally clustered embedded words for event detection in social media
type: Item
instance of: scholarly article
title: Embed2detect: temporally clustered embedded words for event detection in social media
author: Hansi Hettiarachchi
author: Mariam Adedoyin-Olowe
author: Jagdev Bhogal
author: M. Gaber
published in: Machine Learning
publication date: 2022-04-20T00:00:00Z
full work available at URL: https://arxiv.org/abs/2006.05908
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 7510306
zbMATH Keywords: word embedding
zbMATH Keywords: hierarchical clustering
zbMATH Keywords: dendrogram
zbMATH Keywords: vocabulary
zbMATH Keywords: social media
describes a project that uses: BOND
describes a project that uses: GloVe
describes a project that uses: Transformers
describes a project that uses: t-SNE
describes a project that uses: TwitterNews
describes a project that uses: word2vec
describes a project that uses: BERT
describes a project that uses: DistilBERT
MaRDI profile type: Publication
OpenAlex ID: W3164024373
cites work: 10.1162/153244303322533223
cites work: Q3096207
cites work: Introduction to Information Retrieval
cites work: A comparative study of divisive and agglomerative hierarchical clustering algorithms
cites work: Embedding-based silhouette community detection
Wikidata QID: Q125923613
DOI: 10.1007/S10994-021-05988-7
has companion code repository: Embed2Detect
description: scientific article