An Incremental Clustering Baseline for Event Detection on Twitter

Marjolaine Ray, Qi Wang, Frédérique Mélanie-Becquet, Thierry Poibeau, Béatrice Mazoyer
12/16/2024
cs.CLcs.SI

No official code found. Best implementation: medialab/twitter-incremental-clustering (3 stars, GPL-3.0, last commit 2025-12-16).

Abstract

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.

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Code Implementations(1)

medialab/twitter-incremental-clusteringCommunity100%
GPL-3.0

Embeddings for event detection and tracking in social media data

31PythonJul 16, 202410 months agoGPL-3.0

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Cite this paper

@article{ray2024incremental,
  title  = {An Incremental Clustering Baseline for Event Detection on Twitter},
  author = {Marjolaine Ray and Qi Wang and Frédérique Mélanie-Becquet and Thierry Poibeau and Béatrice Mazoyer},
  year   = {2024},
  eprint = {2412.15257},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2412.15257v1}
}

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