WebSep 26, 2024 · TL;DR — Latent Dirichlet Allocation (LDA, sometimes LDirA/LDiA) is one of the most popular and interpretable generative models for finding topics in text data.I’ve provided an example notebook based on web-scraped job description data. Although running LDA on a canonical dataset like 20Newsgroups would’ve provided clearer topics … WebAug 23, 2024 · And one popular topic modelling technique is known as Latent Dirichlet Allocation (LDA). Though the name is a mouthful, the concept behind this is very simple. To tell briefly, LDA imagines a fixed set of topics. Each topic represents a set of words. And the goal of LDA is to map all the documents to the topics in a way, such that the words in ...
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