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arXiv · 2103.00498

Topic Modelling Meets Deep Neural Networks: A Survey

He Zhao·Dinh Phung·Viet Huynh·Yuan Jin·Lan Du·Wray Buntine
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Abstract

Topic modelling has been a successful technique for text analysis for almost twenty years. When topic modelling met deep neural networks, there emerged a new and increasingly popular research area, neural topic models, with over a hundred models developed and a wide range of applications in neural language understanding such as text generation, summarisation and language models. There is a need to summarise research developments and discuss open problems and future directions. In this paper, we provide a focused yet comprehensive overview of neural topic models for interested researchers in the AI community, so as to facilitate them to navigate and innovate in this fast-growing research area. To the best of our knowledge, ours is the first review focusing on this specific topic.

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He Zhao, Dinh Phung, Viet Huynh, Yuan Jin, Lan Du, Wray Buntine. 2021-02-28. Topic Modelling Meets Deep Neural Networks: A Survey. https://arxiv.org/abs/2103.00498

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