File:Illustrating LDA.jpg
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Summary
Description | English: The intuitions behind latent Dirichlet allocation. We assume that some number of “topics,” which are distributions over words,
exist for the whole collection (far left). Each document is assumed to be generated as follows. First choose a distribution over the topics (the histogram at right); then, for each word, choose a topic assignment (the colored coins) and choose the word from the corresponding topic. The topics and topic assignments in this figure are illustrative—they are not fit from real data. |
Date | 8 March 2016( ) |
File source | https://www.cs.princeton.edu/~blei/papers/Blei2012.pdf |
Author | David Blei |
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