LDA

  • 3.9 Rating
  • 4 Reviews
  • 204 Students Enrolled

LDA

We will mainly focus on Latent Dirichlet Allocation (LDA) and its extensions.

  • 3.9 Rating
  • 4 Reviews
  • 204 Students Enrolled
  • Free
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2



Courselet Content

3 components

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 !

instructor
About the Instructor

Xinwen Ni from IRTG, Humboldt University. Research field: NLP, Regulatory Risk, ABM

Student's feedback

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