... of documents, in our case, job descriptions, by organising each document into groups that make sense individually. Like clustering on numerical data, topic modelling is an unsupervised classification method for such texts that finds organic groups of things. Latent Dirichlet allocation (LDA) is a typical...

... economic performance financial performance content analysis topic modelling Web of Science 1. Introduction Money laundering is converting unlawfully obtained funds into what appear to be legal assets. Money gained illegally is turned into money or wealth that seems legitimately acquired in the economy...

...’, that substantially appears only in the Toys category. Data produced with topic modelling also include the distribution of topics over each document, which offers a fine-grained description of narratives' stylistic composition. To illustrate, Table 1 reports the topic composition of two narratives by two sellers...

...Abstract The digital humanities offer many new methods to scholars interested in metal studies. This chapter demonstrates two such methods, that is, stylometric clustering and topic modelling, by interpreting the collected lyrics of over 8,000 metal bands. This allowed the authors to identify...