Understanding the Impact of Multi-Text Representations on Clustering Task

Rafika Boutalbi (1) , Karima Boutalbi (2)

1 QARMA - éQuipe d'AppRentissage de MArseille
2 LISTIC - Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance

Keywords: Unsupervised learning • Clustering → Text data • NLP → Word embedding • Representation learning Text clustering; Learning representation; Graphs; NLP; Word embedding Rafika Boutalbi and Karima Boutalbi; Unsupervised learning; • Clustering → Text data; • NLP → Word embedding; • Representation learning; Text clustering

Domains: Computer Science [cs]

Rafika Boutalbi, Karima Boutalbi. Understanding the Impact of Multi-Text Representations on Clustering Task. WSDM Workshop 2024 Representation Learning and Clustering (RLC’24), Mar 2024, Mérida (Yucatan), Mexico. ⟨hal-04547965⟩