4 citations · 8 across the 3 of their papers we have counts for
3 papers
Analysing the Impact of Removing Infrequent Words on Topic Quality in LDA Models
Victor Bystrov, Viktoriia Naboka-Krell, Anna Staszewska-Bystrova +1
An initial procedure in text-as-data applications is text preprocessing. One of the typical steps, which can substantially facilitate computations, consists in removing infrequent…
Visualizing Topic Uncertainty in Topic Modelling
Peter Winker
Word clouds became a standard tool for presenting results of natural language processing methods such as topic modelling. They exhibit most important words, where word size is ofte…
Choosing the Number of Topics in LDA Models -- A Monte Carlo Comparison of Selection Criteria
Victor Bystrov, Viktoriia Naboka, Anna Staszewska-Bystrova +1
Selecting the number of topics in LDA models is considered to be a difficult task, for which alternative approaches have been proposed. The performance of the recently developed si…