Questions tagged [lda]
Latent Dirichlet Allocation (LDA) is an algorithm in the field of topic modeling.
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Tweet Classification into topics- What to do with data
Good evening,
First of all, I want to apologize if the title is misleading.
I have a dataset made of around 60000 tweets, their date and time as well as the username. I need to classify them into ...
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Latent Dirichlet Allocation vs Hierarchical Dirichlet Process
Latent Dirichlet Allocation (LDA) and Hierarchical Dirichlet Process (HDP) are both topic modeling processes. The major difference is LDA requires the specification of the number of topics, and HDP ...
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Need help with LDA for selecting features
I am currently selecting features of products by using LDA to group 6000 keywords of product into topics.
Here is the sample of my dataset after being organized into list of keywords for each product ...
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Proceeding with various methods for news recommendation
I am beginner in ML (i have done only Andrew Ng's ML course) and i have to work on news recommendation.
I went through this paper which mentions different methods used for news recommendation (at 7th ...
