LDA
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- 3.9 Rating
- 4 Reviews
- 222 Students Enrolled
LDA
We will mainly focus on Latent Dirichlet Allocation (LDA) and its extensions.
-
- 3.9 Rating
- 4 Reviews
- 222 Students Enrolled
Requirements
- Basic knowledge about NLP and python
General Overview
Description
Latent Dirichlet Allocation (LDA) is a ML methods to analyse the unobserved variable (topic) based on the observed variables (words and documents). In this course, we will introduce topic models, mainly focusing on LDA and its application (with python). In chapter 2, we will touch the extensions of LDA model.
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Meet the instructors !
About the Instructor
Xinwen Ni from IRTG, Humboldt University. Research field: NLP, Regulatory Risk, ABM