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Label Semantic Expansion via Label Guided Neural Topic Modeling

Zheng, Haojia et al.
arXiv (OAI Expanded) · Papers
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artificial-intelligencecomputation-and-language
Topic models are widely used for content analysis, where users often analyze corpora around predefined labels rather than unordered latent topics. Existing label-aware topic models mainly follow a labels-for-topics perspective, using labels to guide topic learning, while the learned topics are not d
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