The Hitchhiker's Guide to LDA

08/07/2019
by   Chen Ma, et al.
0

Latent Dirichlet Allocation (LDA) model is a famous model in the topic model field, it has been studied for years due to its extensive application value in industry and academia. However, the mathematical derivation of LDA model is challenging and difficult, which makes it difficult for the beginners to learn. To help the beginners in learning LDA, this book analyzes the mathematical derivation of LDA in detail, and it also introduces all the knowledge background to make it easy for beginners to understand. Thus, this book contains the author's unique insights. It should be noted that this book is written in Chinese.

READ FULL TEXT

page 8

page 9

research
09/03/2019

Discriminative Topic Modeling with Logistic LDA

Despite many years of research into latent Dirichlet allocation (LDA), a...
research
02/12/2016

An Empirical Study on Academic Commentary and Its Implications on Reading and Writing

The relationship between reading and writing (RRW) is one of the major t...
research
08/05/2015

Learning from LDA using Deep Neural Networks

Latent Dirichlet Allocation (LDA) is a three-level hierarchical Bayesian...
research
12/09/2020

EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation

As one of the most powerful topic models, Latent Dirichlet Allocation (L...
research
06/04/2019

On Privacy Protection of Latent Dirichlet Allocation Model Training

Latent Dirichlet Allocation (LDA) is a popular topic modeling technique ...
research
08/04/2020

The Exact Asymptotic Form of Bayesian Generalization Error in Latent Dirichlet Allocation

Latent Dirichlet allocation (LDA) obtains essential information from dat...
research
10/05/2018

Clust-LDA: Joint Model for Text Mining and Author Group Inference

Social media corpora pose unique challenges and opportunities, including...

Please sign up or login with your details

Forgot password? Click here to reset