Searched for: subject%3A%22Latent%255C+Dirichlet%255C+Allocation%22
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document
Stolk, Valentijn (author)
Ransomware has evolved over the years, shifting from widespread attacks targeting individuals to focused attacks on businesses and agencies. These attacks are performed by ransomware gangs while establishing interaction within the ransomware ecosystem. In this thesis, the ransomware ecosystem is posited as being constructed of three separate sub...
master thesis 2022
document
Panichella, A. (author)
Context: Latent Dirichlet Allocation (LDA) has been successfully used in the literature to extract topics from software documents and support developers in various software engineering tasks. While LDA has been mostly used with default settings, previous studies showed that default hyperparameter values generate sub-optimal topics from software...
journal article 2021
document
Koks, Iris (author)
In today's digital world, customers give their opinions on a product that they have purchased online in the form of reviews. The industry is interested in these reviews, and wants to know about which topics their clients write, such that the producers can improve products on specific aspects. Topic models can extract the main topics from large...
master thesis 2019
document
Panichella, A. (author)
Latent Dirichlet Allocation (LDA) has been used to support many software engineering tasks. Previous studies showed that default settings lead to sub-optimal topic modeling with a dramatic impact on the performance of such approaches in terms of precision and recall. For this reason, researchers used search algorithms (e.g., genetic...
conference paper 2019
Searched for: subject%3A%22Latent%255C+Dirichlet%255C+Allocation%22
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