Topic modeling with LDA | Topic Research advanced SEO Guide

Topic Modelling is the process of identifying distinct Topics or Words with topical significance in a group of text. It is essentially useful in the context of topic clustering. Despite several techniques that help us do this, most data scientists prefer the LDA method.

In this method, you will learn how to identify distinct topics for your content marketing plan using the Latent Dirichlet Allocation or LDA method.

In SEO, LDA will help to identify the relevance score of a particular keyword as well as increase a page's relevancy in google. It shows words that help Google determine how relevant the page is to a user's search query.

Ideal Value for LDA :

1.Ideal Score for LDA to have good SEO: 0.1 to 0.3
2. More than 0.3 it’s excellent, Within 0.1-0.3 its ideal for SEO
3. Less than 0.1 is bad

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