Latent Dirichlet Allocation

Automatic keyword extraction using Latent Dirichlet Allocation topic modeling: Similarity with golden standard and users' evaluation

Purpose: This study investigates the automatic keyword extraction from the table of contents of Persian e-books in the field of science using LDA topic modeling, evaluating their similarity with golden standard, and users' viewpoints of the model keywords. Methodology: This is a mixed text-mining research in which LDA topic modeling is used to extract keywords from the table of contents of sci...

以狄式分佈為基礎之多語聲學模型拆分及合併 (Multilingual Acoustic Model Splitting and Merging by Latent Dirichlet Allocation) [In Chinese]

To avoid the confusion of phonetic acoustic models between different languages is one of the most challenges in multilingual speech recognition. We proposed the method based on Latent Dirichlet Allocation to avoid the confusion of phonetic acoustic models between different languages. We split phonetic acoustic models based on tri-phone. And merging the group that selected by Latent Dirichlet Al...

Distributed Latent Dirichlet Allocation via Tensor Factorization

We describe a distributed implementation for Latent Dirichlet Allocation parameter estimation based upon the method of moments.

Hyperspectral Unmixing with Endmember Variability using Semi-supervised Partial Membership Latent Dirichlet Allocation

A semi-supervised Partial Membership Latent Dirichlet Allocation approach is developed for hyperspectral unmixing and endmember estimation while accounting for spectral variability and spatial information. Partial Membership Latent Dirichlet Allocation is an effective approach for spectral unmixing while representing spectral variability and leveraging spatial information. In this work, we exte...

Experiments with Latent Dirichlet Allocation

Latent Dirichlet Allocation is a generative topic model for text. In this report, we implement collapsed Gibbs sampling to learn the topic model. We test our implementation on two data sets: classic400 and Psychological Abstract Review. We also discuss the different evaluation of goodness-of-fit of the models how parameter settings interact with the goodness-of-fit.

Topic Models - Latent Dirichlet Allocation