Sirvi Autor "Svensson, Jonas" järgi

Tulemuste filtreerimiseks trükkige paar esimest tähte
Nüüd näidatakse 1 - 1 1
  • Pisipilt
    listelement.badge.dso-type Kirje ,
    Navigating Swedish Salafism Large language model-augmented content detection and topic modeling using BERTopic with YouTube metadata
    (University of Tartu Library, 2025-11) Svensson, Jonas; Bouma, Gerlof; Dannélls, Dana; Kokkinakis, Dimitrios; Volodina, Elena
    The chapter suggests and provides an example of a Large Language Model (LLM)-augmented method for gaining a quick overview of large sets of YouTube videos using metadata collected through the YouTube API. The case chosen is the Swedish Salafist YouTube channel islam.nu that houses 1 680 videos. An LLM (GPT-4o mini) is given a prompt to guess the content of videos based on information given in their titles and descriptions. These guesses are then used in an LLM-augmented topic modeling process utilizing the Python library BERTopic and the HUMINFRA resource, the Swedish Royal Library’s sentencetransformers model “sentence-bert-swedish-cased”. The videos thus placed under topics are then again subjected to processing by an LLM, to produce easyto-read representations of the topics. This method provides a convenient way to quickly understand the content of YouTube video sets and can serve as a first step in a purposive sampling procedure.