LDA Extensions

  • 5 Rating
  • 1 Reviews
  • 31 Students Enrolled

LDA Extensions

Latent Dirichlet Allocation (LDA) extensions

  • 5 Rating
  • 1 Reviews
  • 31 Students Enrolled
  • Free
Tags:
ML NLP LDA



Courselet Content

2 components

Requirements

  • Basic knowledge of 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 this chapter 2, we will touch the extensions of LDA model. 

Recommended for you

blog
Last Updated 10th December 2023
  • 3
blog
Last Updated 14th November 2023
  • 0
  • 0
blog
Last Updated 22nd September 2023
  • 4
  • Free
blog
Last Updated 6th September 2023
  • 4
  • Free
blog
Last Updated 16th June 2023
  • 0
blog
Last Updated 7th July 2023
  • 1
  • Free
blog
Last Updated 16th January 2023
  • 0
  • Free
blog
Last Updated 16th January 2023
  • 1
  • Free
blog
Last Updated 19th November 2023
  • 6
blog
Last Updated 22nd September 2023
  • 3
  • Free
blog
Last Updated 13th December 2022
  • 46
  • Free
blog
Last Updated 7th November 2022
  • 144
  • Free

Meet the instructors !

instructor
About the Instructor

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

Student's feedback

5
Courselet Rating
100% `  
100%  
100%