Learning author-topic models from text corpora

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stm: An R Package for Structural Topic Models (2019, background): “2003), the Correlated Topic Model (CTM) (Blei and Lafferty 2007), and other topic models that have extended these (Mimno and McCallum 2008; Socher et al. 2009; Eisenstein et al. 2010; Rosen-Zvi et al. 2010; Quinn et al. 2010; Ahmed and Xing 2010; Grimmer 2010; Eisenstein et al. 2011; Gerrish and Ble”
Sentence-Based Text Analysis for Customer Reviews (2016, methodology): “The model and analysis presented in this paper is based on a class of models that are generally known as “topic” models (Blei et al. 2003; Rosen-Zvi et al. 2010), where the words contained in a consumer review reflect a latent set of ideas or sentiments, each of which is expressed with its own vocab”
Topic modelling for qualitative studies (2017, background): “The Author–Topic model incorporates information about the author of a document, assuming that texts from the same author will be more likely to concentrate on the same topics and will be more likely to share common words [22, 23].”