Dynamic topic model
id:
dynamic-topic-model-234-2152451
title:
Dynamic topic model
text:
Within statistics, Dynamic topic models' are generative models that can be used to analyze the evolution of (unobserved) topics of a collection of documents over time. This family of models was proposed by David Blei and John Lafferty and is an extension to Latent Dirichlet Allocation (LDA) that can handle sequential documents. In LDA, both the order the words appear in a document and the order the documents appear in the corpus are oblivious to the model. Whereas words are still assumed to be e
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Dynamic_topic_model
date created:
date modified:
2023-08-08T06:23:29Z
main entity:
{"identifier":"Q5319030","url":"https://www.wikidata.org/entity/Q5319030"}
image:
fields total:
13
integrity:
13