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#lda#latentdirichletallocation#topicmodeling

LDA Topic Models

Andrius Knispelis

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  • Recommended by 2 people: 2 on Stack Overflow and its sister sites.
  • Presented by Andrius Knispelis
  • May be out of date. Uploaded 10 years ago, in an area where tools change fast.

Intermediate. Assumes working knowledge.

185K views10 years ago2 recommendations

AI and machine learningClassic machine learning

Andrius Knispelis explains the intuition, mathematics, and parameters behind Latent Dirichlet Allocation for topic modeling.

LDA Topic Models is a powerful tool for extracting meaning from text. In this video I talk about the idea behind the LDA itself, why does it work, what are the free tools and frameworks that can be used, what LDA parameters are tuneable, what do they mean in terms of your specific use case and what to look for when you evaluate it.

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2 people recommend this

What people say. Recommended as a helpful video for understanding the intuition and concepts behind Latent Dirichlet Allocation.

Eugenon Data Science Stack Exchange • Recommends

On “Building a tag-based recommendation engine given a set of user tags?”

If I got your problem description correct, you are looking for a recommender system like for example used by Netflix or Amazon. State of the art solution would be to use Latent Dirichlet Allocation topic modeling to make recommendations based on topics (in your case, topics would be the tags). Here is a very good video tutorial on this topic: link to this video In the case of the standard version of LDA, you don't even have to define the tags, you just define a value of different tags among all your documents. If you have for example 10000 documents and you want to use 100 different tags, the method will transform your words/documents matrix into a topics/documents matrix. The entries of the words/…
2View the answer

Karthik Sunilon Data Science Stack Exchange • Recommends

On “Intuition of LDA”

You are right, LDA is not very intuitive. It involves a lot of mathematics and concepts. However this video should help you link to this video Also this article “Intuitive Guide to Latent Dirichlet Allocation” by Thushan Ganegedara https://link.medium.com/texozcnAc6
1View the answer