What is LDA and represent the LDA using diagram ?

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LDA stands for Latent Dirichlet Allocation, a topic modeling technique used in natural language processing.

LDA is a generative statistical model that allows sets of observations to be explained by unobserved groups that explain why some parts of the data are similar.
It is commonly used in text mining to extract topics from a collection of documents.
LDA assumes that each document is a mixture of a small number of topics and that each word's presence is attributable to one of the document's topics.
The output of LDA is a set of topics, each represented as a distribution over words.
Example: In a collection of news articles, LDA can be used to identify topics such as politics, sports, and entertainment.

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