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Understanding Latent Dirichlet Allocation - Web Tool

A step-by-step introduction to topic modeling using a popular approach called Latent Dirichlet Allocation (LDA). LDA is one model for understanding the topic of a page, Know more!

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Understanding Latent Dirichlet Allocation - Web Tool

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  1. LDA https://www.webtool.co/lda/

  2. Latent Dirichlet Allocation or LDA is a Topicmodeling form. In SEO LDA will help to identify relevance score of a particular keyword as well as increase a page's relevancy ingoogle.

  3. First we take the URL of our given campaign and scrap the whole document. Then we use LDA algorithm & calculations to compute therelevancy signals.

  4. We then correlate with the mean relevancevalue of competitor’s and we use conditional statement to check if the value is less or greater than the competitor’s

  5. LDA measure the relevancy of a particular keyword. If the choosing keyword's relevancy is low rather than competitors relevancy score then that particular keyword needtobeaddproperlyinlandingpageaspersuggestion. Butthis measurement depends on word count of a particular landing page. Its word count criteria same like cosine similarityalgorithm.

  6. CONTACT https://www.webtool.co/lda/

  7. THANKYOU https://www.webtool.co/lda/

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