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Author

Kiyoshi Izumi

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#machine learning Preprint Oct 2026

vMF Sentence LDA: A Spherical Topic Model over Sentence Embeddings

Latent Dirichlet Allocation (LDA) and models derived from it remain widely used topic models. LDA observes each document as a bag-of-words and models each topic by a categorical distribution over the vocabulary, so that it uses neither the internal structure of the document nor the similarity in meaning between words....

Ryotaro Kobayashi, Yuri Murayama, Kiyoshi Izumi · 0 citations
Open access Aug 2026

Event-driven hypergraph convolutional networks for financial news-based stock selection

A framework, HERALD (Hypergraph forEvent-basedRepresentation andAggregation ofLatestDaily news), which estimates a set of potentially affected stocks from news headlines and constructs a daily-updated dynamic hypergraph by treating each set as an event-driven hyperedge.

Tatsuya Fukasawa, Yuri Murayama, Kiyoshi Izumi · 0 citations

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