Nozomu Miyamoto

Dynamic Structured Neural Topic Model with Self-Attention Mechanism

This study presents a dynamic structured neural topic model, which can handle the time-series development of topics while capturing their dependencies. Our model captures the topic branching and merging processes by modeling topic dependencies based on a self-attention mechanism. Additionally, we in…