The Dynamic Embedded Topic Model

Dieng Adji B.
Dieng Adji B.
Ruiz Francisco J. R.
Ruiz Francisco J. R.
Cited by: 6|Bibtex|Views53
Other Links: arxiv.org

Abstract:

Topic modeling analyzes documents to learn meaningful patterns of words. Dynamic topic models capture how these patterns vary over time for a set of documents that were collected over a large time span. We develop the dynamic embedded topic model (D-ETM), a generative model of documents that combines dynamic latent Dirichlet allocation ...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments