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Probabilistic Topic Models
Book chapter

Probabilistic Topic Models

Murugan Anandarajan, Chelsey Hill and Thomas Nolan
Practical Text Analytics, pp 117-130
20 Oct 2018
DOI: https://doi.org/10.1007/978-3-319-95663-3_8

Abstract

Correlated topic models Dynamic topic models Latent Dirichlet allocation Probabilistic topic models Structural topic models Supervised latent Dirichlet allocation Topic models
In this chapter, the reader is introduced to an unsupervised, probabilistic analysis model known as topic models. In topic models, the full TDM (or DTM) is broken down into two major components: the topic distribution over terms and the document distribution over topics. The topic models introduced in this chapter include latent Dirichlet allocation, dynamic topic models, correlated topic models, supervised latent Dirichlet allocation, and structural topic models. Finally, decision-making and topic model validation are presented.

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