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Main Authors: Ray, Marjolaine, Wang, Qi, Mélanie-Becquet, Frédérique, Poibeau, Thierry, Mazoyer, Béatrice
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2412.15257
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author Ray, Marjolaine
Wang, Qi
Mélanie-Becquet, Frédérique
Poibeau, Thierry
Mazoyer, Béatrice
author_facet Ray, Marjolaine
Wang, Qi
Mélanie-Becquet, Frédérique
Poibeau, Thierry
Mazoyer, Béatrice
contents Event detection in text streams is a crucial task for the analysis of online media and social networks. One of the current challenges in this field is establishing a performance standard while maintaining an acceptable level of computational complexity. In our study, we use an incremental clustering algorithm combined with recent advancements in sentence embeddings. Our objective is to compare our findings with previous studies, specifically those by Cao et al. (2024) and Mazoyer et al. (2020). Our results demonstrate significant improvements and could serve as a relevant baseline for future research in this area.
format Preprint
id arxiv_https___arxiv_org_abs_2412_15257
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle An Incremental Clustering Baseline for Event Detection on Twitter
Ray, Marjolaine
Wang, Qi
Mélanie-Becquet, Frédérique
Poibeau, Thierry
Mazoyer, Béatrice
Computation and Language
Social and Information Networks
Event detection in text streams is a crucial task for the analysis of online media and social networks. One of the current challenges in this field is establishing a performance standard while maintaining an acceptable level of computational complexity. In our study, we use an incremental clustering algorithm combined with recent advancements in sentence embeddings. Our objective is to compare our findings with previous studies, specifically those by Cao et al. (2024) and Mazoyer et al. (2020). Our results demonstrate significant improvements and could serve as a relevant baseline for future research in this area.
title An Incremental Clustering Baseline for Event Detection on Twitter
topic Computation and Language
Social and Information Networks
url https://arxiv.org/abs/2412.15257