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News/A comparative study of transformer-based embeddings for topic coherence
arxiv
PublishedMay 29, 2026 at 4:00 AM
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A comparative study of transformer-based embeddings for topic coherence

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arXiv:2605.28832v1 Announce Type: cross Abstract: Topic modeling is a branch of Natural Language Processing (NLP) that aims to organize large collections of texts into coherent groups according to word co-occurrence patterns, with Latent Dirichlet Allocation (LDA) remaining one of the most widely us

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