Questions tagged [latent-dirichlet-allocation]
For questions related to the Latent Dirichlet Allocation (LDA) model, which is an example of a so-called topic model. See, for example, the paper "Latent Dirichlet Allocation" (2003) by David M. Blei et al. for more info.
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What next after LDA and NMF for topic modelling (with Python)?
I have used NMF and LDA for topic modelling in Python, with what I would call good results with NMF, and poor results with LDA.
My data is highly domain-specific, with a lot of unique/specific ...
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Why does $E_q[\log p(\mathbf{w}|\mathbf{z},\beta)]=\sum_{n=1}^{N}\sum_{i=1}^{k}\sum_{j=1}^{V}\phi_{ni}w_n^j\log \beta_{ij}$ hold in LDA?
I'm having trouble understanding an equality that comes up in the original LDA paper by Blei et al.:
Consider the classical LDA model, i.e. for every document $\textbf{w}=(w_1,\ldots,w_N)$ in a text ...
