A density-based method for adaptive LDA model selection

By Juan Cao, Tian Xia, Jintao Li, Yongdong Zhang, Sheng Tang. Neurocomputing, 2009

826 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/c782eb15bcb5b52926e7a837a8bca01864b8ab8a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. João Guerreiro
2. Sandra Maria Correia Loureiro
3. M. Murty
4. Iis P. Tussyadiah

Citations in the corpus

• On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations (2010, background): “A similar idea is found in [ 5 ] where the average correlation between ( n ) pairs of topics at each stage is considered.”
• Artificial intelligence in business: State of the art and future research agenda (2020, methodology): “The corpus was then used to test the log-likelihood and perplexity (Griffiths and Steyvers, 2004; Cao et al., 2009) of a set of possible topics ranging from 2 latent topics up until 60 latent topics.”
• History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining (2018, neutral): “(2010), Cao et al. (2009), Deveaud et al. (2014), Griffiths and Steyvers (2004) are used.”