A disentangled multimodal neural topic model

doi:10.1016/j.ipm.2026.104683

2026-02-17

PRE

DOI：10.1016/j.ipm.2026.104683

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摘要

En 中文

• 我们提出了一种解耦的多模态神经主题模型。 • 我们在多模态数据中明确地将公共主题与私有主题分离。 • 我们使用定量和定性分析在六个真实数据集上验证了这种方法。

Keyword:

disentangled multimodal neural topic model

public topics

private topics

multimodal data

topic modeling

期刊

INFORMATION PROCESSING & MANAGEMENT

IF:

6.9

论文数:

577

被引数:

机构

hefei university of technology

学者数:

2.5W

论文数: 1.7W

被引数: 35

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